Generated by All in One SEO v4.9.5.1, this is an llms.txt file, used by LLMs to index the site. # The Data Monk Crack Analytics Interview ## Sitemaps - [XML Sitemap](https://thedatamonk.com/sitemap.xml): Contains all public & indexable URLs for this website. ## Posts - [Top 20 SQL Interview Questions and Answers (Most Asked in 2025)](https://thedatamonk.com/top-20-sql-interview-questions-and-answers/) - Topic - Top 20 SQL Interview Questions and AnswersTop 20 SQL Interview Questions and AnswersWelcome to the 5-day series of SQL, Real-world analytics questions with answersIf you want to make a career in Analytics(from Fresher to 10 years of experience in Analytics/Non-Analytics domain), then you can check out our 2200+ Analytics Interview Questions across 23 - [Amazon Business Intelligence Interview Questions](https://thedatamonk.com/amazon-business-intelligence-interview-questions/) - Amazon Business Intelligence Interview Questions will help you understand the recruitment process and questions asked in Amazon interviews - [Big Data Interview Preparation Expert Tips](https://thedatamonk.com/big-data-interview-preparation/) - Big data interview preparation expert tips will help you to prepare for any analytics interview job roles in India or abroad - [Most asked Big Data Questions and Expert Tips](https://thedatamonk.com/most-asked-big-data-questions/) - Most asked Big Data Questions and Expert Tips is a set of concepts, questions and video which will help you in cracking your next analytics interview - [Most asked Business Analyst Questions and Expert Tips](https://thedatamonk.com/most-asked-business-analyst-questions/) - Most asked Business Analyst Questions and Expert will help you in guiding to crack an analytics role in the company of your dream - [Most Asked Data Analyst Questions and Expert Tips](https://thedatamonk.com/most-asked-data-analyst-questions/) - Most Asked Data Analyst Questions and Expert Tips will help you in understanding the requirements and answer a questions to crack any Data Analyst interview. - [Analytics Interview Questions: Most Asked Questions and Expert Tips](https://thedatamonk.com/analytics-interview-questions-day-1/) - Analytics Interview Questions will help you go through the most important interview questions asked in the product based companie - [Factspan interview questions: Most Asked Questions and Expert Tips](https://thedatamonk.com/factspan-interview-questions/) - Factspan interview questions will help you understanding the difficulty of questions asked in Data Science and Analytics interviews at Factspan - [SAP Data Science Interview: Most Asked Questions and Expert Tips](https://thedatamonk.com/sap-data-science-interview-questions/) - SAP Data Science Interview Questions will help you understand the difficulty level and question pattern of interview questions in SAP - [Oracle Data Analyst Interview: Most Asked Questions and Expert Tips](https://thedatamonk.com/oracle-data-analyst-interview-questions/) - Oracle Data Analyst Interview Questions will help you prepare for both Data Science and Data Analyst roles in Oracle and other top companies - [HSBC Business Analyst Interview: Most Asked Questions and Expert Tips](https://thedatamonk.com/hsbc-business-analyst-interview-questions/) - HSBC Business Analyst Interview Questions helps you understand the type of questions asked in HSBC for Data Science and Business Analyst role at HSB - [InMobi Data Science Interview - Most Asked Questions and Expert Tips](https://thedatamonk.com/inmobi-data-science-interview-question/) - InMobi Data Science Interview Question interview process will help you understand the difficulty of questions in Data Science interviews - [Zomato Data Analyst Interview: Most Asked Questions and Expert Tips](https://thedatamonk.com/zomato-data-science-interview-questions/) - Zomato Data Science Interview Questions contains all the questions asked in the Data Science interview at Zomato. all material needed to crack interview - [OLA Data Analyst Interview: Most Asked Questions and Expert Tips](https://thedatamonk.com/ola-data-analyst-interview/) - OLA Data Analyst Interview Questions will help you get different types of questions asked in OLA's Data Analyst Interview - [200 Tricky and Advanced SQL Interview Questions](https://thedatamonk.com/advanced-sql-interview-questions/) - In this blog of advanced SQL Interview Questions asked in FAANG, we will have all types of questions asked by FAANG and other such top-rated product-based companies. These questions will cover a lot of advanced topics, so we request you to go through the basics of SQL before attempting these questions. Please go through all - [Snapdeal Data Science Interview: Most Asked Questions and Expert Tips](https://thedatamonk.com/snapdeal-data-science-interview-questions/) - Snapdeal Data Science Interview Questions will help you understand the difficulty level of Data Science questions asked at Snapdeal - [Mckinsey Data Analyst Interview: Most Asked Questions and Expert Tips](https://thedatamonk.com/mckinsey-data-analyst-interview/) - Get inside the Data Analyst interview of Mckinsey& Company using our article Mckinsey Data Analyst Interview which covers the complete process - [Basic SQL Questions Asked in Analytics Interviews](https://thedatamonk.com/basic-sql-questions-asked-in-analytics-interviews/) - Topic - Basic SQL Questions Asked in Analytics InterviewsCheck out all the Blogs to Master 200+ Advanced SQL Interview QuestionsComplete List of 200+ SQL Interview Questions - Get the full list of 200+ interview questions here200 Tricky and Advanced SQL Interview Questions Basic SQL Questions Asked in Analytics Interviews In the world of relational databases, - [Data Analytics Internship - 2025](https://thedatamonk.com/data-analytics-internship-2025/) - We are looking for a few interns to join our Analytics Team.Please fill the form the internship formIn case you have any queries, you can send a mail to nitinkamal132@gmail.comDon't attach your resume in the email, just put in your doubt. - [Most Asked JSON Interview Questions](https://thedatamonk.com/most-asked-json-interview-questions/) - Topic - Most Asked JSON Interview QuestionsMost Asked JSON Interview Questions - [SQL Hard Interview Questions](https://thedatamonk.com/sql-hard-interview-questions/) - [Data Modeling Interview Questions](https://thedatamonk.com/data-modeling-interview-questions/) - [SQL Most Asked Query Interview Questions](https://thedatamonk.com/sql-most-asked-query-interview-questions/) - [Complex Data Handling Interview Questions](https://thedatamonk.com/complex-data-handling-interview-questions/) - [Advanced Joins in SQL Interview Questions](https://thedatamonk.com/advanced-joins-in-sql-interview-questions/) - [Advanced SQL Aggregation Interview Questions](https://thedatamonk.com/advanced-sql-aggregation-interview-questions/) - [Stored Procedure and CTE Interview Questions](https://thedatamonk.com/stored-procedure-and-cte-interview-questions/) - [SQL Theory Interview Questions](https://thedatamonk.com/sql-theory-interview-questions/) - [Most Asked SQL Interview Questions](https://thedatamonk.com/most-asked-sql-interview-questions-2/) - [Advanced Error Handling & Debugging interview questions](https://thedatamonk.com/advanced-error-handling-debugging-interview-questions/) - [Date and Time Interview Questions in SQL](https://thedatamonk.com/date-and-time-interview-questions-in-sql/) - [Transactions and Concurrency Interview Questions](https://thedatamonk.com/transactions-and-concurrency-interview-questions/) - [SQL Query Optimization Interview Questions](https://thedatamonk.com/sql-query-optimization-interview-questions/) - [Lowe's Data Science Interview: Most Asked Questions and Expert Tips](https://thedatamonk.com/lowes-data-science-interview-questions/) - Lowe's Data Science Interview Questions will get you the difficulty level of the questions asked in the Data Science and Data Analyst interviews at Lowe's - [Barclays Data Analyst Interview: Most Asked Questions and Expert Tips](https://thedatamonk.com/barclays-data-analyst-interview-questions/) - Barclays Data Analyst Interview Questions will help you in understanding the difficulty level of the questions asked in the interview at Barclays - [American Express Data Analyst: Most Asked Questions and Expert Tips](https://thedatamonk.com/american-express-data-analyst-questions/) - American Express Data Analyst Questions will help you in understanding the difficulty level of questions asked in American Express (Amex) - [Walmart Labs Data Analyst: Most Asked Questions and Expert Tips](https://thedatamonk.com/walmart-data-analyst-questions/) - Walmart Labs Data Analyst Interview Questions contains the complete interview process and questions asked in each round. Check out the blog. - [BCG Data Analyst Interview: Most Asked Questions and Expert Tips](https://thedatamonk.com/bcg-data-analyst-interview-questions/) - BCG Data Analyst Interview Questions will take you through the difficulty level of the questions asked in the interviews at BCG for Data Science role - [Mastercard Data Science Interview: Most Asked Questions and Expert Tips](https://thedatamonk.com/mastercard-data-science-interview-questions/) - Mastercard Data Science Interview Questions will help you understand the level of the questions asked in Data Science interviews at Mastercard - [CRED Data Science Interview : Most Asked Questions and Expert Tips](https://thedatamonk.com/cred-data-science-interview-questions/) - CRED Data Science Interview Questions will help you understand the difficulty level of the questions asked in the interviews at CRED - [Nvidia Data Science Interview: Most Asked Questions and Expert Tips](https://thedatamonk.com/nvidia-data-science-interview-questions/) - Nvidia Data Science Interview Questions helps you in understanding the difficulty level of Questionsa asked in Nvidia for Data Science profile - [Dunzo Data Science Interview: Most Asked Questions and Expert Tips](https://thedatamonk.com/dunzo-data-science-interview-question/) - Dunzo Data Science Interview Question will help you get a gist of the level of questions asked in various top Data Science interviews - [E-bay Data Science Interview: Most Asked Questions and Expert Tips](https://thedatamonk.com/e-bay-data-science-interview-question/) - E-bay Most Asked Data Science Interview Questions will help you get an insight on the level of questions asked in Data Science interviews at e-bay - [JPMorgan Chase Data Analyst Interview: Most Asked Questions and Expert Tips](https://thedatamonk.com/jpmorgan-chase-data-analyst-interview-questions/) - JPMorgan Chase Data Analyst Interview Questions will help you in cracking JPMorgan as well as other product based companies interview - [Jio Data Science Interview: Most Asked Questions and Expert Tips](https://thedatamonk.com/jio-data-science-interview-questions/) - Jio Data Science Interview Questions will help you understand the difficulty level of questions asked in Data Science interviews at Jio - [Business Analyst Interview Preparation](https://thedatamonk.com/business-analyst-interview-preparation-2/) - Topic - Business Analyst Interview PreparationIn this post, we will check all the resources that you would require to crack the Business Analyst interview. You can cover the Business Analyst syllabus in 15 days with The Data Monk, but this is for Analytics interviews. This post is specifically for Analytics Interviews. Just try to follow - [Data Analyst Interview Preparation](https://thedatamonk.com/data-analyst-interview-preparation-2/) - Topic - Data Analyst Interview PreparationIn this post, we will check all the resources that you would require to crack the Data Analyst interview. You can cover the Data Analyst syllabus in 15 days with The Data Monk, but this is for Analytics interviews. This post is specifically for Analytics Interviews. Just try to follow - [Story of Bias, Variance, Bias-Variance Trade-Off](https://thedatamonk.com/story-of-bias-variance-bias-variance-trade-off/) - Why do we predict?We predict in order to identify the trend of the future by using our sample data set. Whenever we create a model, we try to create a formula out of our sample data set. And the aim of this formula is to satisfy all the possible conditions of the universe. Mathematicians and - [Daily Quiz to Crack Data Science Interview | Day 1](https://thedatamonk.com/quiz-to-crack-data-science-interview/) - Here we are with the Daily Quiz to Crack Data Science Interview. Target:-No. of Days - 28No. of participants registered till now - 460No. of Questions - 140No. of articles shared - 28No. of free e-books - 4 (Every weekend to those who create an account on the website)Topic - SQL, Python, Case Study, Machine - [Uber Data Scientist Interview Questions](https://thedatamonk.com/uber-data-scientist-interview-questions/) - Uber Data Scientist Interview QuestionsCompany - Uber Role - Data Scientist Location - San Francisco, CA and IndiaUber Data Scientist Interview Questions Before you start, if you want to check Salary/30days road map/company wise interview questions then you can watch the following videosSalary of Anlaytics jobs in Amazon,Flipkart,Myntra,OYO,HousingComplete 30 Days Roadmap to crack Data Analyst InterviewZomato - [Daily Quiz to crack Data Science interview | Day 2](https://thedatamonk.com/crack-data-science-interview/) - Crack data science interview - We are a group of people working full time in some of the most reputed organizationeach having more than 5 years of analytics experience and we take interviews to recruit in our team.At The Data Monk, we try to put as many concepts and questions which are asked in any - [Daily Quiz to Crack Data Science Interview | Day 3](https://thedatamonk.com/data-science-interview-questions/) - Data Science interview questionsTotal Quiz takers as of 25th May'2021 - 650We have some of the very best approaches present in the attempted answers. While you solve the problem do go through all the proposed answers and try to figure out what is wrong with whose approach and upvote the most optimized answer. This will - [Python Questions for Data Science Interview](https://thedatamonk.com/python-questions-for-data-science-interview/) - Python Questions for Data Science InterviewToday we have a very interesting Case study which was asked in the 3rd round of Amazon. Do give it a good try.Also, we will try to put a normal implementation of window functions in SQL. Neither in SQL nor in Python will the interviewer expect a direct function as - [Case Study for Data Science Interview](https://thedatamonk.com/case-study-for-data-science-interview/) - Case Study for Data Science InterviewOn Day 6 we will deal with some of the basic questions and case studies which were recently asked in an interview for the largest e-commerce company in the WorldCase Study for Data Science Interview Python - List containing list, tuple, dictionarySQL - Extract domain name from email id Case - [Daily Data Science Quiz to crack Data Science Interview | Day 7](https://thedatamonk.com/sql-questions-for-data-science-interview/) - SQL questions for data science interviewHave you been practicing the questions for the past 7 days?Here is the catch - Out of 2300 people whom we send these questions, there are a lot of people who actually attempt the questions regularly and even solve other questions given on the portal.Your competition is all in here, - [Daily Quiz for Data Science Interview | Day 1-3 | Solution](https://thedatamonk.com/analytics-interview-questions/) - In this section of Analytics Interview Questions we will have all the very best answers from the users of our portal. We have:-15 QuestionsSQL - 3Python - 3Case Study - 3Statistics - 3Machine Learning Algorithm - 3Our top performer from Day 1,2 and 3 are - Mohit Agarwal, Ramya Mamidipaka,Sanjanaa,Rishi Mehdiratta,Medha,Suvam,Sree Harsha,apmuralidhar,Shuv13111, Surya Prakash Krishnamurthy,Dhingra.13,Jatin - [Daily Quiz to crack Data Science Interview | Day 10](https://thedatamonk.com/case-study-for-analytics-interviews/) - Case Study for Analytics interviewsCase Study for Analytics interviews Day 10 Quiz SQL - Concepts of RDBMS, Dataware House and DatabasePython - Map and Hash Map Statistics - How do you create a sample data of 1000 rows from a population of 1 Million rows and 100 columns?Case Study - What are the factors to - [Case Studies for interviews](https://thedatamonk.com/case-studies-for-interviews/) - Case Studies for interviewsCase Studies are the backbone of your selection in any organization. If you have a good case study round then your selection depends on your technical round, but if this round goes below par then the chances of getting selected go very down. So, focus a lot on solving as many case - [Postman Data Analyst Interview Questions-Updated 2022](https://thedatamonk.com/postman-data-analyst-interview-questions/) - Postman Data Analyst Interview QuestionsCompany Interviewing for - POSTMANRole - Data AnalystLocation - Bangalore, IndiaPostman Data Analyst Interview Questions Round 1 - TechnicalTopics covered - Aptitude,SQL,Data InterpretationMode of interview - HackerrankDuration - 45 MinutesLevel of Questions - MediumA few questions below from this round Which of the following testing is concerned with making decisions using - [Data Science Interview Questions - 1/30](https://thedatamonk.com/data-science-interview-questions-2/) - Data Science Interview questionsIt's the first post of the upcoming 30 posts. In each post, you will have 5 videos to cover and 5 questions/articles to cover the basics.The effort required - 1.5 to 2 hoursOutcome - In 30 days you will cover almost all the topics/concepts which are asked in an Analytics interview. Once - [Data Analyst Interview Questions - 2/30](https://thedatamonk.com/data-analyst-interview-questions-2/) - Data Analyst Interview QuestionsWelcome to the Data Analyst Interview Preparation. Today we will cover some basic topics on SQL, Python and Case Study. Let’s get started with the Data Analyst Interview Questions. Here’s all you need to become a data analyst: 1. Degree and Domain Expertise - Your college and staying updated with news & - [Data Scientist Interview Questions -3/30](https://thedatamonk.com/data-scientist-interview-questions/) - Data Scientist Interview Questions Welcome to the Data Science Interview Questions. Today we will cover some basic topics on SQL, Python, Machine learning, and Data visualization. Let’s get started with the Data Science Interview Questions. The main requirements of a Data Scientist Job are: Programming Data analysis tools Statistics Machine learning Data visualization tools Videos - [Business Analyst interview questions - 4/30](https://thedatamonk.com/business-analyst-interview-questions/) - Business Analyst interview questions Welcome to the Business Analyst interview questions. Today we will cover some basic topics on SQL, Python, Machine learning and Case Study. Let’s get started with the Business Analyst interview questions. Videos to cover for Business Analyst interview questions : Palindrome Number in Python| Part 5 | Code in Python - [Data Science Interview preparation - Day 5/30](https://thedatamonk.com/data-science-interview-preparation/) - Data Science Interview preparation Welcome to the Data Science Interview preparation. Today we will cover some basic topics on SQL, Python, Machine learning, and Case studies. Let’s get started with the Data Science Interview preparation. Videos to cover for Data Science Interview preparation : To prepare for your data science Interview you should firstly polish - [Business Analyst interview preparation - 7/30](https://thedatamonk.com/business-analyst-interview-preparation/) - Business Analyst interview preparationWelcome to the Business Analyst interview preparation. Today we will cover some basic topics on SQL, Python, Machine learning, and Case studies. Let’s get started with the Business Analyst interview preparation. Videos to cover for Business Analyst interview preparation: As always, programming is the start. So you task for today would be - [Big Data Interview questions - I](https://thedatamonk.com/big-data-interview-questions/) - Welcome to the Big Data Interview questions. Today we will cover some basic topics on SQL, Python, Machine learning and Case Study. Let’s get started with the Big Data Interview questions. Videos Knowledge of programming- Sum and largest of an array in Python | Part 15 | Code in Python for Data Science | The - [How to prepare SQL for Analytics Jobs in 15 days?](https://thedatamonk.com/how-to-prepare-sql-for-analytics-jobs-in-15-days/) - Which is the most important concept you need to prepare for Analytics Jobs?SQLIn this post, we will try to help you by providing all the resources needed to cover SQL from very basic to advance level. How to prepare SQL for Analytics Jobs? Total time required to prepare - 15 daysDaily time to invest - - [OS module in Python - Complete Tutorial](https://thedatamonk.com/os-module-in-python/) - We all have worked with Pandas and Numpy libraries, we might have also used matplot and some machine learning libraries. But, definitely os module in Python is one of the important modules present in the language. Once you recognize the importance of this module, then there is no going back.OS module in Python is used - [NoSQL vs Relational Database](https://thedatamonk.com/nosql-vs-relational-database/) - NoSQL vs Relational DatabaseIf you are already working in the analytics domain then you might have heard words like PostgreSQL, MongoDB, MySQL, Oracle, etc. We also do have a fair bit of idea about the fact that we store our tables and databases in these places. But why can't we have everything under one hood?We - [Big Data Pipeline Infrastructure](https://thedatamonk.com/big-data-pipeline-infrastructure/) - Big Data Pipeline Infrastructure consists of a lot of components and as an analyst, you are expected to understand the complete infrastructure in order to provide better insights on data lineage, integrity, finding loopholes in the source, and final data.In this blog, we will discuss the most important part of Big Data Pipeline Infrastructure in - [Amazon Business Analyst Interview Questions](https://thedatamonk.com/amazon-business-analyst-interview-questions/) - Amazon Business Analyst Interview QuestionsCompany Name - AmazonPosition - Business AnalystSalary - 12 to 25 LPA depending on experience and last compensationDifficulty Level - Moderate+How to apply - Naukri.com, Linkedin, Amazon job portal, and ReferralsNumber of rounds - It ranges from 3 to 5 rounds (depending on the team you are interviewing for)Job Location - - [Box8 Business Analyst Interview Questions](https://thedatamonk.com/box8-business-analyst-interview-questions/) - Box8 Business Analyst Interview QuestionsCompany Name – Box8Position – Business AnalystSalary – 12 – 16 LPA depending on experience and last compensationDifficulty Level – HardHow to apply – Mostly Referrals and uploading resumes on their websiteNumber of rounds – It ranges from 4 (depending on the team you are interviewing for)Job Location – BangaloreBox8 Business Analyst Interview Questions There are a few - [13 points approach to solve any case study](https://thedatamonk.com/solve-case-study/) - Our core group has taken up 100s of case study rounds as well as nailed quite a few case studies. We have come up with a list of 12 points that will make your life a lot easier while you solve any case study.These points will help you to solve any case study in an - [Sapient Business Analyst Interview Questions](https://thedatamonk.com/sapient-business-analyst-interview-questions-2/) - Sapient Business Analyst Interview QuestionsPublicis Sapient, formerly Sapient, is a digital transformation partner helping established organizations get to their future, digitally-enabled state by fusing strategy, consulting, and customer experience with agile engineering. It was founded in 1990.Location - BangaloreJob Title - Business AnalystExperience required - 1-3 yearsNumber of Rounds - 4 Salary Offered - ~10 LPASapient - [Understand these E-commerce metrics before applying](https://thedatamonk.com/understand-these-e-commerce-metrics-before-applying/) - What is this blog about?In this blog, e-commerce metrics, we will try to understand different things which are asked in a company that focuses on their website or application conversion. Web analytics is a way to understand the sentiments of your online users, why they are buying what they are buying and what they are - [Meesho Case Study Question Dec'21](https://thedatamonk.com/meesho-case-study-asked-question/) - Meesho Case Study QuestionThe following question has been asked in the second round of interviews for the Senior Business Analyst at Meesho. The same type of question was asked a couple of years back in Sapient and more companies, and it was published on The Data Monk long back. So, do practice the case study - [Python Analytics interview questions 1-5](https://thedatamonk.com/python-analytics-interview-questions/) - Python Analytics interview questionsIn this series, we will add some of the basic questions to start with Python. Slowly we will move to moderate level DSA questions followed by Pandas, Numpy, and OS module.All you need to do is to install Python in your system and start from scratch. We will try to solve each - [Python Interview Questions for Analysts - 5-10](https://thedatamonk.com/python-interview-questions-for-analysts/) - Python Interview Questions for Analysts will help you understand the type of questions that you can expect in an analytics interview. Product-based companies mostly focus on asking at least 5-7 Python questions around the basic logic like Palindrome, rotating an array, sum of diagonal, string, Armstrong numbers, etc. to check the experience of the candidate - [Python Array Interview Questions 11-15](https://thedatamonk.com/python-array-interview-questions/) - Today we will take some Python Array Interview Questions. We will try to cover the basic questions and then will move towards some interview questions that are frequently asked in the analytics domain.Companies like Zynga, Myntra, Housing, Ola, Oyo, etc. emphasize quite a bit on the Python skills of the candidate (at least moderate skills) - [Python Interview Questions 16-20](https://thedatamonk.com/python-interview-questions-2/) - Let's start with the 4th set of Python Interview Questions. Mostly, the product-based companies in India ask these questions in the first round of interviews for Business Intelligence Engineer/Data Analyst/Business Analyst/Data Scientist Python Interview Questions 16. Interchange first and last element in a list l = [1,2,3,5,6]temp = l[0]l[0] = l[len(l)-1]l[len(l)-1] = tempprint(l)or l = - [SQL Questions for Data and Business Analyst](https://thedatamonk.com/sql-questions-for-business-analyst/) - Topic - SQL Questions for Business AnalystNumber of questions - 10Topics - Basic and TrickyProbability of getting asked in an interview - 8/10Let's start with the SQL Questions for Business Analyst Though we have mentioned that the probability of these questions coming in your interview is 8/10 but we are being modest at that part - [SQL most asked interview questions](https://thedatamonk.com/sql-most-asked-interview-questions/) - SQL most asked interview questions In this article, we will deal with 'almost' all types of SQL questions asked in any Analytics interview. These questions are mostly asked from candidates in the experience range of 0 to 6 years.SQL questions are asked mostly in the 1st and 2nd rounds of your interviews and good feedback - [CROSS JOIN UNNEST in Presto](https://thedatamonk.com/cross-join-unnest-in-presto/) - CROSS JOIN UNNEST in PrestoWhat is Presto and what is the meaning of un-nesting an array?As the data grows, it becomes trickier to holdCROSS JOIN UNNEST in Presto CROSS JOIN UNNEST - It is simply used to flatten an array, flattening means converting an Array, Map or Row in a flat relation by converting it - [Daily Data Science Quiz](https://thedatamonk.com/data-science-quiz/) - Python questions for Data Science QuizToday we will talk only about Python, in fact it's less about the language but more about the logic which is explained in these questions. Even if you don't know the concept, try to google or derive the logic. Don't, please don't think that these questions are not asked in - [Unnest and Sequence in Presto SQL](https://thedatamonk.com/unnest-and-sequence-in-presto-sql/) - Unnest Sequence in Presto SQL helps you to create a sequence of numbers, dates, etc. as a table and then to use that table. Unnest and sequence are two different functions but when used in a combination it can be very usefulWhere to use Unnest and Sequence in Presto?Suppose, you have a table where you - [Data Analytics Interview Questions | Day 2](https://thedatamonk.com/data-analytics-interview-questions/) - Welcome to the 2nd Day of Data Analytics Interview Questions Quiz.You can go through the question and answer for Day 1 HereThe best answer to the quiz was provided by RaahulData Analytics Interview QuestionsIn this series, all you need to do is to go through the questions and try to attempt it with whatever knowledge - [Big Data Interview Questions | Day 5](https://thedatamonk.com/big-data-interview-questions-2/) - Welcome to the 5th Day of Big Data Interview Questions.You can go through the question and answer forDay 1 Day 2 Day 3 Day 4Big Data Interview QuestionsIn this series, all you need to do is to go through the questions and try to attempt it with whatever knowledge you have.Before or after you attempt - [SQL and Statistics Interview Questions | Day 7](https://thedatamonk.com/sql-and-statistics-interview-questions/) - SQL and Statistics Interview Questions - Day 7 has solved questions from basic statistics, SQL, and a case study. If there is some mistake in the answers, then do comment below. Try to add more points in the case study section.SQL and Statistics Interview Questions Welcome to the 6th Day of Machine Learning Interview Questions.You - [Advance SQL topics for Analytics Role | Day 8](https://thedatamonk.com/advance-sql-topics-for-analytics-role-day-8/) - Welcome to the 6th Day of Machine Learning Interview Questions - Advance SQL topics for Analytics RoleYou can go through the question and answer forDay 1Day 2Day 3Day 4Day 5Day 6Advance SQL topics for Analytics RoleIn this series, all you need to do is to go through the questions and try to attempt it with - [HDFS and YARN command cheat sheet](https://thedatamonk.com/hdfs-and-yarn-command-cheat-sheet/) - Topic - HDFS and YARN command cheat sheetLet's look into some of the top HDFS commands that you might require while working in a Big Data infrastructure. HDFS and YARN command cheat sheetat sheet HDFS and YARN command cheat sheet hadoop fs -lsIt lists the files in hadoop home directory hadoop fs -ls -R/It lists - [Case Study - KPIs for the e-commerce industry](https://thedatamonk.com/kpis-for-e-commerce-industry/) - KPKPIs for the e-commerce industry, this article has the top 20 metrics/KPIs that are asked in the e-commerce interviews. Expect these questions to be asked in companies like Amazon, Swiggy, Licious, Flipkart, Uber, Ola, Myntra, OYO, etc.P.S. - Comment if you know more metrics/KPIs for the e-commerce industry KPIs for the e-commerce industry Case Study - [Chapter 8 - 100 NLP Interview Questions](https://thedatamonk.com/nlp-interview-questions/) - NLP Interview QuestionsNLP Interview Questions Topic - 50 Most Asked Logistic Regression Interview QuestionsWelcome to the 2200 questions series from The Data Monk, in this series we will cover all the topics in a Question-Answer mode that are required for anyone who wants to make a career in the following field:-- Data Analysis- Business Analysis- - [Chapter - 9 | 100 Random Forest and Decision Tree Interview Questions](https://thedatamonk.com/random-forest-and-decision-tree-interview-questions/) - Random Forest and Decision Tree Interview Questions Topic - NLP Interview QuestionsWelcome to the 2200 questions series from The Data Monk, in this series we will cover all the topics in a Question-Answer mode that are required for anyone who wants to make a career in the following field:-- Data Analysis- Business Analysis- Business Intelligence - [Myntra Senior Business Analyst Questions](https://thedatamonk.com/myntra-senior-business-analyst-questions/) - Myntra Senior Business Analyst Interview Questions - [Flipkart Data Analyst Interview Questions](https://thedatamonk.com/flipkart-data-analyst-interview-questions-2/) - Flipkart Data Analyst Interview Questions Flipkart Data Analyst Interview Questions - Rounds Prepare for Flipkart Data Analyst Interview Questions Our services The Data Monk e-books - [Google Business Intelligence Analyst Interview Questions](https://thedatamonk.com/google-business-intelligence-analyst-interview-questions/) - Company - GoogleDesignation - Business Intelligence Analyst Experience required - 2 to 5 yearsTopics to prepare - SQL, Project related, Behavioral questionsSalary range - 30 to 45 LPA (Our student got an offer of 26 LPA Base + 4 LPA allowances + $60,000 stocks for 4 yearsGoogle Business Intelligence Analyst Interview Questions Interview Experience I - [Ace Your Next Analytics interview](https://thedatamonk.com/ace-your-next-analytics-interview/) - How to Ace Your Next Analytics Interview?1. Get complete/partial mentorship from The Data Monk2. Buy the e-book that suits your requirement3. Subscribe to our YouTube channel - The Data Monk for All the important concepts for Analytics Interviews4. Go through our daily blogsAce Your Next Analytics Interview with The Data Monk 1:1 Complete/Partial Mentorship with - [Case Studies and Guesstimates for Analytics Interviews](https://thedatamonk.com/case-studies-and-guesstimates-for-analytics-interviews/) - Topic - Case Studies and Guesstimates for Analytics InterviewsIn this post, we will check all the resources that you would require to crack the Case Study round in the Analytics interview. Case Studies and Guesstimates are generally asked in the second and third rounds of the recruitment process. It is very important to perform well - [Your Guide to Crack the Data Scientist Interview](https://thedatamonk.com/crack-data-scientist-interview/) - Topic - Crack Data Scientist InterviewIn this post, we will check all the resources that you would require to crack the Data Scientist interview. You can cover the Data Scientist syllabus in 30 days with The Data Monk, but this is for Analytics interviews. This post is specifically for Analytics Interviews. Just try to follow the - [Master Python for Analytics Interviews](https://thedatamonk.com/master-python-for-analytics-interviews/) - Topic - Master Python for Analytics InterviewsIn this post, we will check all the resources that you would require to crack the Analytics interview’s Python round. You can very well cover the syllabus of Python in 7 days with The Data Monk, but this is for Analytics interviews. If you are targeting an SDE or - [Most Asked SQL Interview Questions](https://thedatamonk.com/most-asked-sql-interview-questions/) - In this post, we will check all the resources that you would require to crack Analytics interview's SQL round. You can very well cover the syllabus of SQL in 7 days with The Data Monk. Just try to follow the resources below. Also, we cover most asked SQL interview questions so that you can be - [Get 1:1 Expert Mentorship in Analytics](https://thedatamonk.com/expert-mentorship-in-analytics/) - The topic of the Post-Expert Mentorship in AnalyticsAccelerate Your Analytics Career with Personalized Mentorship and Mock Interviews Breaking into the analytics field or advancing in your career can be daunting. The competition is fierce, and recruiters look for candidates who not only excel technically but also have strong problem-solving and communication skills. To help aspiring - [Books for Analytics PDF](https://thedatamonk.com/books-for-analytics-pdf/) - The topic of the Post- Books for Analytics PDFWe would like to keep it very simple and crisp. We are a group of 50+ individuals working in the Analytics domain and in companies like, Ola, OYO Rooms, Mu sigma, Google, Amazon, Microsoft, etc. We have taken 1000+ interviews in our career and we felt that - [Free Analytics Videos](https://thedatamonk.com/free-analytics-videos/) - Cracking Analytics Interviews with Free Analytics Videos by The Data Monk In today’s data-driven world, careers in analytics are booming. Organizations seek individuals skilled in extracting insights and making data-backed decisions, from data analysts to machine learning engineers. However, landing a job in analytics is no easy feat. Interviews often test a wide array of - [Amazon business intelligence engineer interview questions](https://thedatamonk.com/amazon-business-intelligence-engineer-interview-questions-2/) - Amazon business intelligence engineer interview questionsCompany - AmazonDesignation - Business Intelligence Engineer Experience required - 1 to 5 yearsTopics to prepare - SQL, Project related, Amazon 14 PrinciplesSalary range - 24 to 48 LPA (Our student got an offer of 22 LPA Base + 5 Lakhs joining bonus for 2 years + $50,000 stocks for - [Zomato Case Studies Interview Question - 2024](https://thedatamonk.com/zomato-case-studies-interview-question/) - Zomato Case Studies Interview Question - 2024Case studies are one of the most important rounds in any role related to analytics. You need to understand the company's model for which you are applying. For ex. if you are interviewing for Zomato then you should know what are the key KPIs that are monitored at Zomato - [SQL Most Asked Interview Questions - 2024](https://thedatamonk.com/sql-most-asked-interview-questions-3/) - SQL Most Asked Interview QuestionsSQL (Structured Query Language) is the cornerstone of database management, used extensively for managing and manipulating relational databases. Proficiency in SQL is crucial for roles like Database Administrators, Data Analysts, Data Scientists, and Software Engineers. Consequently, SQL interview questions are a staple in technical interviews for these positions.Interviewers often focus on - [AMAZON Data Analyst INTERVIEW Questions](https://thedatamonk.com/amazon-data-analyst-interview-questions/) - Amazon, renowned as a global e-commerce giant, stands out from traditional marketplaces due to its vast scale, featuring an extensive array of millions of products. In the United States, Amazon dominates over 50% of the online market, showcasing its substantial influence. Since its establishment in 1994, Amazon has consistently pursued its overarching objective of becoming - [Loop in Python](https://thedatamonk.com/day-23-loop-in-python/) - Loop and functions are two most important topics in the basics of Python. You need to have a really good hand on loop and functions.Loop is basically used to iterate the same thing again and again. Python, like most of the programming language, have two types of loop:-1. while2. for While loopIn a while loop, - [Functions in Python](https://thedatamonk.com/day-24-functions-in-python/) - Welcome to the world of Functions. This is undoubtedly the most important topic of your Data Science career :PFunction will make your life easy and your peer's life easier !!Toh shuru karte hain, bina kisi bakchodi ke(Let's start without wasting any time)Defining a functionA function is a block of code which runs only when it - [Tricky Interview Questions (Python)](https://thedatamonk.com/day-26-tricky-interview-questions-python/) - The reason why I put interview questions as the title of a lot of posts is because:-1. It makes you click on the post2. It makes you feel that these are very important questions and you can nail an interview with it3. These are actual interview questions asked in companies like Myntra, Flipkart, BookMyShow, WNS, - [Reading and Writing files in Python](https://thedatamonk.com/day-27-reading-and-writing-files-in-python/) - You always have to read and write files when working for a company or Hackathon. So, it's necessary to know how to read different types of files.Let's start the boring but important partThe most important command to open a file in Python is the open() method. It takes two parameters, Name of the file and - [Visualizations in Python](https://thedatamonk.com/day-28-visualization-in-python/) - Data visualization is the discipline of trying to understand data by placing it in a visual context so that patterns, trends and correlations that might not otherwise be detected can be exposed. It is one of the basic but a very important weapon in your Data Science career. Python is blessed with some good libraries - [Visualization in Python Part 2](https://thedatamonk.com/day-29-visualization-in-python-cont/) - We have already plotted some basic graphs. Now it's time to plot some more graphs:- Line Histogram Now let’s create a line histogram with some random dataimport matplotlib.pyplot as plt import numpy as np import scipy.stats as stats noise = np.random.normal(0, 1, (1000, )) density = stats.gaussian_kde(noise) n, x, _ = plt.hist(noise, bins=np.linspace(-3, 3, 50),histtype=u'step', - [R - Cheat Sheet](https://thedatamonk.com/r-cheat-sheet/) - This is a cheat sheet which aims on giving all the important concepts in a very crisp manner. Just give it a read before starting a new project in R or interviewing for a Data Science or Data Analyst or Business Analyst post.There are various advantages and disadvantages of using R over Python, but we - [Common Statistical Tests](https://thedatamonk.com/common-statistical-tests/) - There are various statistical tests in Data Analysis, following are the tests and their use:-1. Correlation -> This test looks at the association between variables2. Pearson Correlation -> It tests the strength of the association between two continuous variables 3. Spearman correlation -> It tests the strength of association between two ordinal variables4. Chi-Square -> - [What is Machine Learning?](https://thedatamonk.com/day-30-what-is-machine-learning/) - Big Data, Machine Learning, Artificial Intelligence, etc. If you are regular with news, then you must have heard a lot about these words. Let's try to understand things with examplesWhat is Big Data?In 1990s the size of data used to be small and people used to store only relevant data points. With the World Wide - [Supervised Learning Overview](https://thedatamonk.com/day-31-supervised-learning-overview/) - The word "Supervised" means monitoring. A supervised learning algorithm is one in which you train a data set on output and then the model takes up these inputs and predicts the outcome. Confusing?Let's try an exampleYou own a restaurant and you have collected various information about the customers like Name, Status, Job, Salary, Address, Home - [Supply Chain Analytics in Python](https://thedatamonk.com/supply-chain-analytics-in-python/) - Let’s take a case study of Supply Chain optimization. There is a Restaurant which serves Mega Pizza (40”). It has one oven, 3 bakers, and 1 packer. Following is the time required by each Pizz Now you have to maximize the Profit using PuLP library. Use decision variables, objective functions, and constraints. How much pizza - [Flipkart Interview Questions](https://thedatamonk.com/flipkart-interview-questions/) - Position – Data ScientistLocation – BangaloreNumber of Rounds – 5 Round 1 - Aptitude and Logical ReasoningRound 2 - Case Study (Non-Elimination Round)Round 3 – Technical Interview SQL and PythonRound 4 – Project discussionRound 5 - Human ResourceRound 1 – Aptitude and Logical ReasoningSample Questions are given below1. . A bag contains 7 white, 3 - [What are training and test datasets?](https://thedatamonk.com/day-33-before-you-start-modeling-what-are-training-and-test-datasets/) - Suppose you have 1000 rows of data and you want to make a model to predict whether a person is suffering from Thyroid. There are 15 columns with 15th one being a binary variable of 0(Normal) and 1 (Thyroid). Firstly you have to figure out the model which you want to make and then you - [Before you start Modeling - Feature Engineering](https://thedatamonk.com/day-34-before-you-start-modeling-feature-engineering/) - Feature Engineering is one place where you have to put in a lot of efforts. In the beginning of any project, you will have very less data, but then you need to dig in and torture the data set to get more columns. Let's take few example to see how feature engineering is done.Let's take - [How to calculate the performance of your model?](https://thedatamonk.com/day-35-before-you-start-modeling-how-to-calculate-the-performance-of-your-model/) - To understand the performance of a model you need to start with Confusion matrix. If you have escaped it below, then you can go through it again. A confusion matrix is a summary of prediction results on a classification problem. The number of correct and incorrect predictions are summarized with count values and broken down - [Understanding Linear Regression](https://thedatamonk.com/day-41-understanding-linear-regression/) - Linear Regression is one of simplest, basic algorithm you would wish to start your learning with. But let me remind you, the concept of linear regression is with us way before machine learning and AI caught our attention! I am sure you could recall studying its basic version in your high school or engineering mathematics - [Natural Language Processing in Python? What and Hows about NLP](https://thedatamonk.com/day-55-natural-language-processing-in-python-what-and-hows-about-nlp/) - NLP stands for Natural Language Processing which is a subdomain of Data Science and it helps you in extracting insights from organized or un-organized data.Have you ever wondered how a chatbot interacts with you so efficiently that half of the time even you don't know if it is a bot or a human? That is - [TF-IDF and Word correlation](https://thedatamonk.com/day-56-tf-idf-and-word-correlation/) - What is tf-idf? Term frequency and inverse document frequency. It is to remove the most common words other than stop words which are there in a particular document, so this is document specific. The weight will be low in two cases:- a. When the term frequency is low i.e. number of occurrence of a word - [NLP Interview Questions](https://thedatamonk.com/day-59-nlp-revision-and-interview-questions/) - 1. What problems can NLP solve?NLP can solve many problems like, automatic summarization, machine translation, named entity recognition, relationship extraction, sentiment analysis, speech recognition, and topic segmentation etc.2. What are the common patterns used in regular expression? \w+ -> word \d -> digit \s -> space \* ->wildcard + or * -> greedy match \S - [Sapient Interview Question](https://thedatamonk.com/sapient-interview-question/) - Company Name - SapientLocation - BangalorePosition – Assistant Manager AnalyticsSalary – 12.5 LPA Number of Rounds - 4 Round 1 – Telephonic (Python)Round 2 – Case Study and GuesstimateRound 3 – Project Discussion Round 4 – HR Round Round 1 – Telephonic Round on Python Questions were mostly around basic SQL syntax, RANKING function, and - [BookMyShow Data Scientist Interview Question](https://thedatamonk.com/bookmyshow-data-scientist-interview-question/) - Company Name – BookmyshowLocation - BangalorePosition – Data Scientist Number of Rounds – 4 Round 1 – Written Open book SQL and R/Python roundRound 2 – Case StudyRound 3 – Statistics and Project DiscussionRound 4 –HR Round Round 1 – SQL and R open book written test 1. Count the total salary department number wise - [Web Analytics Basics and Terminologies](https://thedatamonk.com/web-analytics-basics-and-terminologies-part-1-4/) - Web Analytics is a complete world in itself. It makes life easier for the client as well as the developer. The Fortune 500 companies spent a hell lot of money to get a handful of insight. We will try to provide case studies and real web analytics problems to get you insight about the job - [Exponential Smoothing (ETS) Forecasting in layman terms](https://thedatamonk.com/exponential-smoothing-ets-forecasting-in-layman-terms/) - Exponential Smoothing is a technique to make forecasts by using a weighted mean of past values, wherein more recent values are given higher weights. Now, let's try to unpack that statement and actually understand it. Background: We have a 'time series' of values, typically taken at equally distant time intervals. As an example, think of the - [Guesstimate 1 - How many t-shirts are sold in India per day?](https://thedatamonk.com/guesstimate-1-how-many-t-shirts-are-sold-in-india-per-day/) - How many t-shirts e-commerce companies selling in India per day? We can approach this problem in two ways: Demand side Supply side I am going to solve using demand of t-shirts in the market Total population of india : 1 bn (approx) Reach to internet : 40% =400 Mn Reach of ecommerce companies to deliver - [Guesstimate 2 - How many laptops are sold in Bangalore in a day?](https://thedatamonk.com/guesstimate-2-how-many-laptops-are-sold-in-bangalore-in-a-day/) - What is the number of laptops sold in Bangalore on an average routine day? Laptop is a costly product. I am assuming that people buy laptop only when they needed. That's why i am going to calculate potential market of laptops in India. Total population of Bangalore = 18Mn ~ 20Mn Let's divide population on - [Guesstimate 3 - What are the number of smartphones sold in India per year?](https://thedatamonk.com/guesstimate-3-what-are-the-number-of-smartphones-sold-in-india-per-year/) - Population of India : 1200 mn Population above poverty line: 70% 840 mn Population below 14 years: 30% Hence, proxy figure: 588 mn Rural Population (70%) : 410 mn Rural Households: 82 Mn Rural Mobile Penetration: Avg 2 per household- 164 Mn In rural areas assume that a new mobile is bought once in 3 - [Python - Part 1/10](https://thedatamonk.com/python-part-1-10/) - 5-6 years back Java was said to be ever lasting. Everyone wanted a Java developer in their team. Looking at the current scenario, we can safely assume that Python is and will be one of the most used Programming language across multiple domains ranging from software development to web development and Data Science. Talking particularly about Data Science, - [Book List](https://thedatamonk.com/book-list/) - List of the books we have on Amazon:1. The Monk who knew Linear Regression (Python): Understand, Learn and Crack Data Science Interview2. 100 Python Questions to crack Data Science/Analyst Interview Complete Linear Regression and ARIMA Forecasting project using R 3. 100 Hadoop Questions to crack data science interview: Hadoop Cheat Sheet 4. 100 Questions to - [Kaggle Titanic Solution](https://thedatamonk.com/kaggle-titanic-solution/) - Kaggle is a Data Science community which aims at providing Hackathons, both for practice and recruitment. You should at least try 5-10 hackathons before applying for a proper Data Science post.Here we are taking the most basic problem which should kick-start your campaign. This hackathon will make sure that you understand the problem and the - [100 Natural Language Processing Questions in Python](https://thedatamonk.com/100-natural-language-processing-questions-in-python/) - What is NLP? NLP stands for Natural Language Processing and it is a branch of data science that consists of systematic processes for analyzing, understanding, and deriving information from the text data in a smart and efficient manner. What are the uses of NLP? Natural Language Processing is useful in various domains like Chat bots, - [The measure of Spread in layman terms](https://thedatamonk.com/statistics-in-laymans-terms/) - Data Science is a combination of Statistics and Technology. In this article, we will try to understand some basic terminologies in Layman's language. Suppose I run a chain of Pizza outlets across Bangalore and have around 500 delivery boys. We have assured "less than 30 minutes delivery time" to our customers, but while going through - [Guesstimate - Price of one Kilogram Potato in India ?](https://thedatamonk.com/guesstimate-price-of-one-kilogram-potato-in-india/) - Let's try to guesstimate the price of one kg potato in India. There could be multiple ways to do it, but your aim should be to keep the "scope of error" to the minimum. To estimate the price of one kg potato, you can take up any food item which has potato in it. You - [Linear Regression Part 2 - Implementation of LR](https://thedatamonk.com/linear-regression-part-2-implementation-of-lr/) - We already know the assumptions of the Linear Regression. We will quickly go through the implementation part of the Linear Regression. We will be using R for this article(Read Sometimes, I am more comfortable in R :P )Remember - The easiest part in any modeling project is to implement the model. The major pain point - [Linear Regression Part 3 - Evaluation of the model](https://thedatamonk.com/linear-regression-part-3-evaluation-of-the-model/) - Check out Part 1 and Part 2 of the series before going furtherLinear Regression Part 1 - Assumption and Basics of LRLinear Regression Part 2 - Code and implementation of model If you want to learn more about Linear Regression and ARIMA forecasting in R with 100 questions then you can try our book on - [Data Science Terms which are often confused](https://thedatamonk.com/data-science-terms-which-are-often-confused/) - Data Science = Maths+Code+Business UnderstandingMany a time you come across different terminologies which sounds confusing. We will try to make them easier for you to understand and to remember 1.Data Scientist vs Data AnalystData Scientist helps you understand the "whatif's" associated with a problem whereas Data Analyst gets you insights, builds report and present it - [Supply Chain Analytics](https://thedatamonk.com/supply-chain-analytics/) - We all have a fair idea about the supply chain. In a layman term, we can say that the supply chain analytics helps in improving the operational efficiency and effectiveness by providing "data-driven" decisions at the operational and strategic level. There are four types of analytics which one can perform to boost the performance of - [Supply Chain Analytics - Using PuLP in Python](https://thedatamonk.com/supply-chain-analytics-using-pulp-in-python/) - There are three types of programming which we can do in Supply Chain a. Linear Programming – It involves creating a model on continuous variables b. Integer Programming – It involves creating a model on only Discrete or Integer value c. Mixed Integer Programming – It is a mix of continuous and discrete variables What - [Introduction to SQL](https://thedatamonk.com/day-1-introduction-to-sql/) - Structured Query Language is the base of your Data Science career. You will always be surrounded with SQL queries and it's very important to understand the basics of the language.We will not waste time on defining terminologies associated with the language. If you want to start from the very basic then do go through www.tutorialspoint.com. - [Basic Queries to get you started](https://thedatamonk.com/day-3-basic-queries-to-get-you-started/) - I hope you have already read the introduction part where we discussed about the execution flow of all the clauses in SQL.Today we will discuss around 15 questions which shall give you a good launching pad to directly jump on the complicated problems. You can, but you should not skip this article. Just go through - [SQL Intermediate Questions](https://thedatamonk.com/day-4-sql-intermediate-questions/) - Let's get started with some intermediate level SQL queries. Try to frame an approach before hoping to the solution because once you see the answer you will find it easy to understand.I think there will be around 15 questions in the article below and do try to score at least 12+ before moving to the - [SQL advance concepts](https://thedatamonk.com/day-5-sql-advance-concepts/) - Advance concepts mostly involves knowledge of window functions, cleaning the data format, working with different date formats, etc. Before proceeding, you should actually go through different ways of casting data types and other widows functions.1.Create the cumulative revenue column on a restaurant data where the table contains revenue of each of the restaurants and you - [Less asked SQL questions](https://thedatamonk.com/day-6-less-asked-sql-questions/) - We have already covered queries on joins, aggregate functions, sub-queries, running sum, etc.This article will concentrate on the theoretical part of SQL which are less asked but are important to know about1.What are the different types of statements supported in SQL? There are three types of statements in SQL:-a. DDL – Data Definition Languageb. DML – Data - [Start with Python](https://thedatamonk.com/day-7-start-with-python/) - Python is one of the most preferred language for Data Science. It is needless to discuss the pros and cons of Python over any other language(R/SAS/Java/C).If you are already comfortable with any other language then it's good, but if you are still exploring and are ready to pick a new language, then Python it is.At - [EDA in Python](https://thedatamonk.com/day-9-eda-in-python/) - The complete Machine Learning journey can be penned down in 4 steps:-1. Exploratory Data Analysis - This is the first thing you do when you get a dataset. Before jumping on to building models, you need to first understand the nature of the data. EDA helps in making it easier for the audience to get - [Practice Numpy](https://thedatamonk.com/day-10-practice-numpy/) - Numpy is one of the basic and most used packages in Python. It is mostly used for scientific computing.Most important Data Type in Numpy is Array.import numpy as npAnd you have installed the numpy package in your system. Now, check the important and basic functions present in Numpy package to play around your dataset.1. Import - [Top 5 Regression Techniques](https://thedatamonk.com/top-5-regression-techniques/) - How many regression techniques do you know?Linear Regression?Logistic Regression?These two are the building blocks of your Data Science career, there are N number of Regression models, but we will try to cover the top 5 models which can come handy to you.First of all, What on earth is regression?In a layman term, Regression is a - [10 Must have SQL questions](https://thedatamonk.com/10-must-have-sql-questions/) - What are the different Analytic functions available in SQL Server? FIRST_VALUE(): Returns the first value in an ordered set of values. If Partition By clause is specified then it returns First Value in each partition after ordering the partition by Order By Clause. LAST_VALUE(): Returns the Last value in an ordered set of values. If - [Complete path to master SQL before interview](https://thedatamonk.com/complete-path-to-master-sql-before-interview/) - We have interviewed a lot of candidates and found out that SQL is still something which is very less explored by people who want to get deep into this domain.Remember - Data Science is not about all about SQL, but it's a bread and butter for most of the jobs irrespective of your profile.This is - [Ada Boost Algorithm in Python](https://thedatamonk.com/ada-boost-algorithm-in-python/) - Gist of Adaptive boost Algorithm in layman's term - If you want to improve the performance of a class then you should concentrate on improving the average marks of the class. In order to increase the average marks you need to focus on the weaker section of the class because the toppers will anyways perform. - [Gradient Boosting in Python](https://thedatamonk.com/gradient-boosting-in-python/) - I hope you are already done with the basic concepts of regression and have covered our previous post on Adaptive Boosting. Nai padhe, toh padh lo yaar..easy haiRemember, If you want to participate in a Hackthon or using regression in your day to day work then learning Adaptive,Gradient, and Extreme Gradient will definitely help you. - [The Data Monk Booklist](https://thedatamonk.com/the-data-monk-booklist/) - Following are our books published on Amazon1. A complete Data Science interview with 100+ Questions2. Learn Statistics in Python in simple language: Without in-built functions3. Crack Your Next Data Science Interview with 300+ Questions: SQL,Statistics,Python,R,Aptitude,Project Description4. Case Studies And Guesstimates for Data Science, Business Analyst and MBA candidate5. 125 Must Have Python Questions Before Data - [20 Must have Data Science Questions](https://thedatamonk.com/20-must-have-data-science-questions/) - 1. Differences between Supervised and Unsupervised Learning? Supervised learning is a type of machine learning where a function is inferred from labeled training data. The training data contains a set of training examples. Unsupervised learning, on the other hand, is a type of machine learning where inferences are drawn from datasets containing input data without - [50 Statistics Questions](https://thedatamonk.com/50-statistics-questions/) - Q1. What is a Sample? A. A data sample is a set of data collected and the world selected from a statistical population by a defined procedure. The elements of a sample are known as sample points, sampling units or observations. Q2. Define Population. A. In statistics, population refers to the total set of observations that can be made. For example, if we are studying the weight of - [Guesstimate 2 - How many gmail users are there in India ?](https://thedatamonk.com/guesstimate-2-how-many-gmail-users-are-there-in-india/) - Approach The population of India is - 1,300,000,000 i.e. 1.3BInternet penetration in India is - 30% Assumed Population Distribution - 0-20 : 25% 21- 60 : 60% >60 : 15% People of age between 0-20 using internet = 0.25*390000000 = 97500000 ~100,000,000Similarly people of age between 21-60 and >60 using internet will be 230,000,000 and - [Guesstimate 1 - Number of Office chairs sold in India](https://thedatamonk.com/guesstimate-1-number-of-office-chairs-sold-in-india/) - Q1. Estimate the number of office chairs sold in India. Approach:- To estimate the numbers of office chairs sold in India, we will proceed by estimating, working population in India. Lets say, out of 120 crore population in India, 60% are people that are above the age of 15, i.e. equal to 72 crore. Approximately - [Guesstimate 3 - How many paan shops are there in India ?](https://thedatamonk.com/guesstimate-3-how-many-paan-shops-are-there-in-india/) - Ans: We will use the method of Demand and Supply Total population of India = 1.2bn or 1200 Mn Male = 700 Mn & Female = 600 Mn ( 900 women per 1000 men ) The ratio of Female/Male for Pan consumption is very small. Female in india those consume pan on regular basis = - [Guesstimate 4 : Estimate the total length of roads in your city](https://thedatamonk.com/guesstimate-4-estimate-the-total-length-of-roads-in-your-city/) - Approach:If we take Mumbai and say Blue Dart, it will take 1 delivery truck for a region like Andheri from the regional distribution centre. Andheri is assumed as approximately 25km^2 in area. A delivery truck driver would work for 7 hours a day driving, at a speed of 30–40 kmph (Andheri being congested). So kilometers - [Guesstimate 5 : How much is the surf excel detergent usage in a day in India?](https://thedatamonk.com/guesstimate-5-how-much-is-the-surf-excel-detergent-usage-in-a-day-in-india/) - Approach: India has a population of approx 1.2B People. About 20% are BPL and would therefore not use surf excel. Remaining population: o.8*1.2B = 0.96B people. Assuming a family of 4 people that is 0.24B families. Rural:Urban = 30:70 (0.072B:0.168B) Assuming only about 10% of people use surf excel in ruler areas, due to the availability - [Guesstimate 6 : How do we estimate the area of an Airport ?](https://thedatamonk.com/guesstimate-6-how-do-we-estimate-the-area-of-an-airport/) - Ans: Let’s assume the airport can accommodate 10 planes at once and handle 5 runways. Average length of runway = 2000m Width of runway = 50 m The total area of runway is 2000*50*5 = 500000 sq.m Length of average plane is assumed as 50m and its wingspan is 40 m. Total area of 10 - [Guesstimate 7 : How to estimate the number of ambulances on the road ?](https://thedatamonk.com/guesstimate-7-how-to-estimate-the-number-of-ambulances-on-the-road/) - Ans: Let’s start with the population of the country ~ 1.3 Billion (1300 million) Rural - 70% = 900 million Urban 400 million Let’s divide the Urban population into three groups based on income level - Low |High |Upper High I would divide as : Low: 30% High - 50% Upper High - 20%So Urban - [Guesstimate 8 : How many red colour Swift cars are there in Delhi ?](https://thedatamonk.com/guesstimate-8-how-many-red-colour-swift-cars-are-there-in-delhi/) - Let’s start with the population of Delhi which is 2 Crores. We will divide this population into two groups- 1. Family(80%) = 0.8*20000000 = 16000000 family members 2. Bachelors(Individuals) (20%) = 0.2*20000000 = 4000000 Number of families(assuming 4 members in each) = 16000000/4 = 4000000. Guessing that 50% of families have cars, so the number - [Guesstimate 9 : The number of people wearing watches in Bangalore](https://thedatamonk.com/guesstimate-9-the-number-of-people-wearing-watches-in-bangalore/) - Ans: Let’s assume population of Bangalore as 10 million and the day today is a working day for every age group And age group wise population assumption would be 0–15 yrs: 30%; 15–25 yrs: 20%; 25–50 yrs: 30%; >50 yrs: 20% Income wise population would be Above poverty line: 75% The people below poverty has - [How much is the annual income of a beggar in Bangalore?](https://thedatamonk.com/how-much-is-the-annual-income-of-a-beggar-in-bangalore/) - You can assume anything and everything under the Sun, just to try to keep the assumptions close to realityI always start with an equation, for this question the equation which I assumed was:- Amount per day * Number of Calendar Days (365) Assumption 1- A beggar begs all day of the yearNow, I have divided - [Statistics Interview Questions](https://thedatamonk.com/statistics-interview-questions/) - Q1. What is a Sample? A. A data sample is a set of data collected and the world selected from a statistical population by a defined procedure. The elements of a sample are known as sample points, sampling units or observations. Q2. Define Population. A. In statistics, population refers to the total set of observations that can be made. For example, if we are studying the weight of - [10 Questions, 10 Minutes - 1/100](https://thedatamonk.com/10-questions-10-minutes-1-100/) - This is something which has been on my mind since a long time. We will be picking 10 questions per day and would like to simplify it.We will make sure that the complete article is covered in 10 minutes by the reader. There will be 100 posts in the coming 3 months.The articles/questions will revolve - [10 Questions, 10 Minutes - 2/100](https://thedatamonk.com/10-questions-10-minutes-2-100/) - This is something which has been on my mind since a long time. We will be picking 10 questions per day and would like to simplify it.We will make sure that the complete article is covered in 10 minutes by the reader. There will be 100 posts in the coming 3 months. The articles/questions will - [10 Questions, 10 Minutes - SQL/R/Python - 3/100](https://thedatamonk.com/10-questions-10-minutes-sql-r-python-3-100/) - 1.What will the following code output? >>> word=’abcdefghij’ >>> word[:3]+word[3:] The output is ‘abcdefghij’. The first slice gives us ‘abc’, the next gives us ‘defghij’. 2.How will you convert a list into a string? We will use the join() method for this. >>> nums=['one','two','three','four','five','six','seven'] >>> s=' '.join(nums) >>> s ‘one two three four five six - [10 Questions, 10 Minutes - 4/100](https://thedatamonk.com/10-questions-10-minutes-4-100/) - 1.How would you convert a string into an int in Python? If a string contains only numerical characters, you can convert it into an integer using the int() function. >>> int('227') 227 Let’s check the types: 1. >>> type('227') 1. >>> type(int('227')) 2.What is difference between unique and distinct?(90% asked Advanced SQL - [10 Questions, 10 Minutes - 5/100](https://thedatamonk.com/10-questions-10-minutes-5-100/) - 1. What if you want to toggle case for a Python string? We have the swapcase() method from the str class to do just that. 1. >>> 'AyuShi'.swapcase() ‘aYUsHI’ 2. Write code to print only upto the letter t. I love Python >>> i=0 >>> while s[i]!='t': print(s[i],end=’’) 4. i+=1 I love Py 3. What - [Machine Learning using SQL - Day 6/100](https://thedatamonk.com/machine-learning-using-sql-day-6-100/) - The below article is the intellectual property of Ashish Kohli. This is one such article which actually powers the ability of SQL. Give it a read guys. Yes, you read that one right! One of the most fundamental machine learning algorithms out there is Linear Regression. In simple words, it is a technique to describe - [Data Science vs Big Data vs Data Analytics vs Business Analyst](https://thedatamonk.com/data-science-vs-big-data-vs-data-analytics-vs-business-analyst/) - We often come across few terms which sounds no different but are poles apart. The same goes with Data Science, Big Data,Data Analytics, and Business Analyst. So if you are confused about the role which an employer is offering you, then this article is for you. Data Science vs Big Data vs Data Analytics vs - [Confusion Matrix in Data Science, meaning and example](https://thedatamonk.com/confusion-matrix-in-data-science-meaning-and-example/) - What is Confusion Matrix?Confusion Matrix is a performance measuring technique for ML Classification model.Why do we need Confusion Matrix? Is measuring accuracy not enough?Confusion Matrix suggests the actual accuracy of your model. For example. Suppose I want to classify if a person is suffering from a very rare disease(1/100000). Even If i build a very - [What is the difference between forecasting and prediction?](https://thedatamonk.com/what-is-the-difference-between-forecasting-and-prediction/) - Forecasting and Prediction are two different things. You always forecast weather, but never predict the weather. Forecasting is nothing but a extrapolation of the past. You have some historic data, and you plotted it on the co-ordinate and extrapolated it for the future. This is forecasting Prediction is subjective, it refers to an upcoming event - [Correlation and Collinearity explained in layman terms](https://thedatamonk.com/correlation-and-collinearity-explained-in-layman-terms/) - Correlation tells you have two numerical variables relate to each other. It will tell you whether data points that have a higher than average value for one variable will also likely have a higher than average value for the other variable (positive correlation) or smaller than average (negative correlation) or if there is no such - [Feature Engineering in Data Science](https://thedatamonk.com/feature-engineering-in-data-science/) - Have you ever wondered why two different people gets different accuracy while using the same algorithm?We all know that XGBoost can help us get a very good result in our Hackathons, but then also only few people achieve a decent rank using the same algorithm, why?Well !! The answer is feature engineering i.e. creating more - [One Hot Encoding - Feature Engineering](https://thedatamonk.com/one-hot-encoding/) - So, I just started solving the latest Hackathon on Analytics Vidhya, Women in the loop . Be it a real-life Data Science problem or a Hackathon, one-hot encoding is one of the most important part of your data preparation. If you don't know about it yet, then you are definitely missing out on something which - [Linear, LASSO, Elastic Net, and Ridge Regression in Layman terms (R) with complete code - Part 1](https://thedatamonk.com/linear-lasso-elastic-net-and-ridge-regression-in-layman-terms-r-with-complete-code-part-1/) - Linear, LASSO, Elastic Net, and Ridge Regression are the four regression techniques which are helpful to predict or extrapolate the prediction using the historic data. Linear doesn't have any inclination towards the value of lambda.LASSO takes lambda as 1 and Ridge takes it as 0, Elastic Net is the middle way and the value of - [5 Most Important SQL questions for your Data Science Interview](https://thedatamonk.com/5-most-important-sql-question-for-your-data-science-interview/) - SQL is the bread and butter of an analyst. You can't survive in the Data Science industry with a grip on this 'easy-looking' query language. I have been interviewed for more than 30 companies in the past 3-4 years. SQL rounds are mostly a rapid fire round where you either keep on answering all the - [Ridge vs LASSO vs Elastic Net Regression](https://thedatamonk.com/ridge-vs-lasso-vs-elastic-net-regression/) - Ridge and LASSO are two important regression models which comes handy when Linear Regression fails to work.This topic needed a different mention without it's important to understand COST function and the way it's calculated for Ridge,LASSO, and any other model.Let's first understand the cost functionCost function is the amount of damage you are going to - [Cross Validation and varImp in R](https://thedatamonk.com/cross-validation-in-r/) - I was onto our next book - Linear,Ridge, LAASO, and Elastic Net Algorithm explained in layman terms with code in R , when we thought of covering the simple concepts which are quite helpful while creating models.Cross Validation is one simple concept which definitely improves the performance of your model. A lot of you must - [Multicollinearity in Simple Terms](https://thedatamonk.com/multicollinearity-in-simple-terms/) - We all know the definition of multi-collinearity i.e. when 2 or more explanatory variable in multi regression model are highly linearly related then it's called multicollinearityExample - Age and Selling price of a CarEducation and Annual IncomeHeight and Weight Why should we remove multicollinearity from our model?Example, You are watching WWE and Batista is thrashing - [GRE Verbal | Barron’s 800 Destroyed | Day 10](https://thedatamonk.com/gre-verbal-barrons-800-destroyed-day-10/) - We are already good with 220 words, lets's pass that 250 mark. All the words given below are directly from Barron's 800 most frequent words. 251. abeyance - temporary suspensionIf you have ever created an Angle Priya profile, there is a high chance that your profile must have been fell into abeyance :P252.accretion - growth - [Missing Value Treatment - Mean, Median, Mode, KNN Imputation, and Prediction](https://thedatamonk.com/missing-value-treatment-mean-median-mode-knn-imputation-and-prediction/) - Missing Value treatment is no doubt one of the most important parts of the whole process of building a model. Why?Because we can't afford to eliminate rows wherever there is a missing value in any of the columns. We need to tackle it in the best possible way. There are multiple ways to deal with - [Janta Hack - Analytics Vidhya R code](https://thedatamonk.com/janta-hack-sample-code/) - install.packages("stringr")library(stringr) data = read.csv("C:/Users/User/Desktop/Hackathon/JantaHack/train.csv")head(data)str(data) data$product - [300+ Data Science Interview Questions](https://thedatamonk.com/300-data-science-interview-questions/) - Probably you have a lot of information about what to study and not to study for a Data Science job. But, when you start applying to a DS job, then you will realize that the whole process contains a lot of diverse rounds which includes1. Problem Solving2. Statistics3. Aptitude4. Guesstimate5. Python and R6. SQL and - [Interview Questions - Flipkart, Myntra, Oyo Rooms, Tredence, and Meredith India](https://thedatamonk.com/interview-questions-flipkart-myntra-oyo-rooms-tredence-and-meredith-india/) - Data Science is one of those domains which are less explored in colleges but is in high demand in the I.T. sector.The combination of Maths and Technology makes it even more interesting. I have been working as a Senior Data Scientist at OYO for the last one year, prior to which I was at Mu - [OYO Rooms Data Analyst Interview Questions | Day 6](https://thedatamonk.com/oyo-rooms-data-analyst-interview-questions/) - Topic - OYO Rooms Data Analyst Interview QuestionsDesignation - Data AnalystLocation - GurugramYears of Experience - Fresher to 3 yearsSalary - 12 to 18 LPAExpertise Required - SQL and Problem SolvingOYO Rooms Data Analyst Interview Questions There were 4 to 5 rounds in the recruitment process, the number of rounds depend on the candidate's performance - [Apple Senior Data Analyst Interview Questions | Day 9](https://thedatamonk.com/apple-interview-questions/) - Topic - Apple Senior Data Analyst Interview QuestionsCompany - AppleDesignation - Senior Data AnalystSalary - 25 to 40 LPA (Depending on CTC,college and counter offers)Apple Senior Data Analyst Interview Questions Round Details:-There were in total 4 rounds including Hiring Manager round. The process is a bit lengthy as the result of each round takes 5-7 - [SQL Query Optimization Techniques](https://thedatamonk.com/sql-query-optimization-techniques/) - SQL Query Optimization TechniquesQuery optimization is an important skill for SQL developers and database administrators (DBAs). In order to improve the performance of SQL queries, developers and DBAs need to understand the query optimizer and the techniques it uses to select an access path and prepare a query execution plan. Query tuning involves knowledge of - [Amazon Business Intelligence Engineer Interview Questions](https://thedatamonk.com/amazon-business-intelligence-engineer-interview-questions/) - Amazon Business Intelligence Engineer Interview QuestionsThe Analytics domain is a very rapidly developing domain and there is an ever-growing job opportunity in this domain. We will keep everything short and simple.Amazon Business Intelligence Engineer Interview QuestionsTarget job roles - Business Analyst, Data Analyst, Data Scientist, Business Intelligence Engineer, Product Analyst, Machine Learning Engineer, Data EngineerTarget - [The Data Monk internship - 2023](https://thedatamonk.com/the-data-monk-internship-2023/) - Please fill the form belowLink to form Bookmark this page, as we will be updating all the internship-related information on this page only.Do follow Nitin Kamal on Linkedin for all the internship and analytics-related updates No. of Openings:- SEO (1 position) - We will let you know how to do SEO- Technical Content Writer (1 - [Adobe Analytics Interview Questions - SQL](https://thedatamonk.com/adobe-analytics-interview-questions-sql/) - Adobe Analytics Interview Questions What was the project for?A. The project was to do sentiment analysis on the survey data filled by online customers. 2. What algorithms/methods did you try?A. We tried multiple algorithms, starting from TF-IDF, Part-Of-Speech tagging, n-gram, Lemmatization, Stemming, Tokenization, Latent Semantic Indexing, Sentiment Analysis. 3. What all methods do you need to perform - [Zepto Data Analyst Interview Questions](https://thedatamonk.com/zepto-data-analyst-interview-questions/) - Zepto, an innovative startup, revolutionizes grocery delivery with lightning-fast service, promising a 10-minute delivery timeframe. Zepto's cutting-edge model relies on strategically located dark stores, strategically positioned across major Indian cities including Mumbai, Bangalore, Delhi, Noida, Ghaziabad, Gurgaon, Chennai, Pune, Kolkata, and Hyderabad. Backed by substantial funding from both Indian and global investors, including prominent names - [AB InBev Data Analyst Interview Questions](https://thedatamonk.com/ab-inbev-data-analyst-interview-questions/) - The world's largest brewer is Anheuser-Busch InBev. Their vision is to be recognized as the Best Beer Company, bringing people together for a better world. For centuries, the act of sharing a beer has been known to unite people. Even in today's hyper-connected, always-on world, this simple gesture retains its significance. AB InBev, a multinational - [OYO Rooms Data Analyst INTERVIEW Questions](https://thedatamonk.com/oyo-rooms-data-analyst-interview-questions-2/) - Company – OYODesignation – Data AnalystYear of Experience required – 0 to 4 yearsTechnical expertise – SQL, Python, Case Study, and StatisticsSalary offered – 10 to 18 LPA (no Stocks, 10% variable) – 80% hikeNumber of Rounds – 4 There were 4 to 5 rounds in the recruitment process, the number of rounds depend on - [ATLASSIAN Data Analyst INTERVIEW Questions](https://thedatamonk.com/atlassian-data-analyst-interview-questions/) - The Atlassian interview process comprises various stages, starting with an initial phone screening and progressing through technical assessments, coding challenges, and multiple rounds of in-person or virtual interviews. These interviews encompass a mix of technical inquiries, behavioral assessments, and interactive discussions with potential team members or managers. Reflecting Atlassian's emphasis on collaboration, the process may - [Flipkart Data Analyst INTERVIEW Questions](https://thedatamonk.com/flipkart-data-analyst-interview-questions/) - Established in 2007, Flipkart, an e-commerce company, initiated its sales journey by offering online books. Over the years, it has expanded its product range to encompass over 100 million items across 120+ categories. With a user base exceeding 120,000 registered users, Flipkart achieved a significant milestone in 2016 by becoming the first Indian app to - [MYNTRA Data Analyst INTERVIEW Questions](https://thedatamonk.com/myntra-data-analyst-interview-questions/) - India's leading e-commerce company, Myntra, is dedicated to ensuring the accessibility of fashion and lifestyle products to everyone. Solutions are created by us that disrupt the ordinary and contribute to making the world a happier and more fashionable place. A company that is consistently evolving into newer and better forms, seeks individuals who are prepared - [WALMART Data Analyst INTERVIEW Questions](https://thedatamonk.com/walmart-data-analyst-interview-questions/) - Walmart stands as one of the world's leading discount department store chains, boasting a global presence with thousands of stores that provide a diverse array of products at budget-friendly prices. The company offers competitive salaries, attractive incentives like stock options and 401(k) matching, and the opportunity to tackle intriguing business challenges. With Walmart's strategic emphasis - [ADOBE Data Analyst INTERVIEW Questions](https://thedatamonk.com/adobe-data-analyst-interview-questions/) - What does it take to become a data analyst at Adobe, a global software company headquartered in San Jose, CA, renowned for its digital media apps and marketing tools? With a diverse user base spanning millions worldwide, Adobe's data analysts play a crucial role in deciphering customer data to enhance products, refine marketing strategies, and - [MICROSOFT Data Analyst INTERVIEW Questions](https://thedatamonk.com/microsoft-data-analyst-interview-questions/) - Microsoft has been dominating headlines for its significant venture into AI, a move that has propelled it to the top of the world's company valuations in 2024, surpassing Apple. Beyond AI, Microsoft is poised to make substantial progress in various sectors such as gaming and cloud computing this year. The expansion of these businesses will - [Walmart Data Scientist Interview Questions - Updated 2023](https://thedatamonk.com/walmart-data-scientist-interview-questions/) - Walmart Data Scientist Interview Questions - We interviewed a couple of folks working as a Data scientists at Walmart. According to them the interview will be quite technical in nature with a lot of emphasis on ML and Python. SQL questions are also asked(not more than 4-5). You can practice the questions below to get - [Business Analytics Interview Questions | Day 3](https://thedatamonk.com/business-analytics-interview-questions/) - Welcome to the 2nd Day of Business Analytics Interview Questions Quiz.You can go through the question and answer forDay 1 HereDay 2 HereThe best answer to the quiz was provided by Raahul for both the daysBusiness Analytics Interview QuestionsIn this series, all you need to do is to go through the questions and try to attempt - [Daily Data Science Quiz to crack Data Science Interview | Day 4](https://thedatamonk.com/statistics-questions-for-data-science-interview/) - Statistics questions for Data Science interviewOn day 4 we will look into some very common but important concepts asked in Data Science interview.You are asked questions with the expectation that you have multiple approaches to come up with an answer.You will get a glimpse of it in the SQL, Python and Guesstimate question which we - [Box8 Data Analyst Interview Questions](https://thedatamonk.com/box8-data-analyst-interview-questions-2/) - We have covered few interview Questions asked in Amazon, Myntra, and some of the case studies - You can get the complete list of Daily Quiz here https://thedatamonk.com/daily-quiz/Today is Day 15 and we will look into Box8 Data Analyst Interview Questions.I interviewed for Data Analyst position last year at Box8, the process was smooth. Following - [Box8 Data Analyst Interview Questions](https://thedatamonk.com/box8-data-analyst-interview-questions/) - Box8 is an Indian food delivery start-up which is currently functioning in Mumbai, Pune, Bangalore and Gurugram. Title –Data AnalystExperience required – 1-3 yearsNumber of Rounds – 3Round 1 – Telephonic SQL and MS Excel Round The telephonic round was mostly around tricky SQL questions and basic MS Excel questions. The interview lasted for 45 - [Swiggy Data Analyst Interview Questions - Updated 2022](https://thedatamonk.com/swiggy-data-analyst-interview-questions/) - Day 23Swiggy Data Analyst Interview QuestionsThe number of rounds in Swiggy depends on the team to which you have to report. In general Swiggy emphasises on SQL a lot. These Swiggy Data Analyst Interview Questions will help you in understanding the preparation level. We can't share the exact questions here, but following are the type - [SQL Quiz for Data Science | Day 4](https://thedatamonk.com/sql-quiz-for-data-science/) - SQL Quiz for Data ScienceNo. of Questions - 5Level of Questions - BeginnerTarget Score - 4 to 5Let's start with the SQL Quiz for Data Science [quiz-cat id="4998"] The Data Monk services We are well known for our interview books and have 70+ e-book across Amazon and The Data Monk e-shop page . Following are best-seller combo - [SQL Questions for Data Analyst | Day 5](https://thedatamonk.com/sql-questions-for-data-analyst/) - SQL Questions for Data AnalystNo. of Questions – 5Level of Questions – BeginnerTarget Score – 4 to 5Let’s start with the SQL Questions for Data Analyst [quiz-cat id="5019"] Daily Quiz SQL Quiz | Day 4Machine Learning MCQ QuizPython Quiz | Day 3Python MCQ – 1 | Daily Quiz 1Python MCQ – 2 | Daily Quiz - [Data Analyst Interview preparation - Day 6/30](https://thedatamonk.com/data-analyst-interview-preparation/) - Data Analyst Interview preparationWelcome to the Data Analyst Interview preparation. Today we will cover some basic topics on SQL, Python, Machine learning and Case Study. Let’s get started with the Data Analyst Interview preparation. Videos to cover for Data Analyst Interview preparation: Continue on your python programming from this short video Simple and Compound Interest - [Cross Join Unnest and Lateral View Explode](https://thedatamonk.com/cross-join-unnest-and-lateral-view-explode/) - Cross Join Unnest and Lateral View ExplodeThis is the growing age of data and it's a challenge to store the data efficiently. What would you do if you have to store phone numbers or courses in a table against every student in your class?There is also a possibility that one student can have 1/2/3/4 phone - [Get interviewed in Best Analytics Companies-2023](https://thedatamonk.com/interview-at-analytics-companies/) - Interview at Analytics CompaniesHere we have a list of Top 50 Companies with Analytics Opportunities. We are not including FAANG and will concentrate more on the Indian market. By Analytics we mean a position or opening in one or more of the following domains:-Data AnalystBusiness AnalystData ScientistApplied Data ScientistProduct AnalystDecision ScientistMachine Learning EngineersHere are the - [Amazon Interview Questions](https://thedatamonk.com/amazon-interview-questions/) - Company Name - AmazonLocation - BangalorePosition – Business Analyst Number of Rounds - 3Round 1 – Telephonic Round on Technical CapabilitiesRound 2 – SQL, Excel, and StatisticsRound 3 – Project discussion and HR The Hiring Manager will ask about your technical proficiency in the different tools and technologies. Once you met the requirement of their - [Tredence Business Analyst Interview Questions](https://thedatamonk.com/tredence-business-analyst-interview-questions/) - Location – BangaloreJob Title – Business Analyst Experience Required – 2-3 YearsNumber of Rounds – 4Round 1 - Aptitude and Guesstimate Questions(Written)Round 2 - SQL round(Written)Round 3 - Technical Interview with hands-on coding(SQL, R/Python, and MS Excel)Round 4 - HR round The Data Monk services We are well known for our interview books and have - [Top 100 Power BI Interview Questions - Part 1/2](https://thedatamonk.com/top-100-power-bi-interview-questions-part-1-2/) - Q1. What are the parts of Microsoft self-service business intelligence solution? Microsoft has two parts for Self-Service BI Q2. What is self-service business intelligence? Self-Service Business Intelligence (SSBI) SSBI is an approach to data analytics that enables business users to filter, segment, and, analyze their data, without the in-depth technical knowledge in statistical analysis, business - [Sapient Business Analyst Interview Questions](https://thedatamonk.com/sapient-business-analyst-interview-questions/) - Publicis Sapient, formerly Sapient, is a digital transformation partner helping established organizations get to their future, digitally-enabled state by fusing strategy, consulting and customer experience with agile engineering. It was founded in 1990. Location - Bangalore Job Title - Business Analyst Experience required - 1-3 years Number of Rounds - 4 Round 1 - Telephonic - [Amazon Senior Business Analyst interview questions - Updated 2022](https://thedatamonk.com/amazon-senior-business-analyst-interview-questions/) - Amazon Senior Business Analyst interview questions Amazon Senior Business Analyst interview questionsName - Can't disclose as the person is joining AmazonPrevious Company - Mu Sigma Inc.Previous Company Designation - Decision ScientistWork Experience - 3 years 6 monthsTools and Technologies used in Previous Company - SQL, Python, Tableau, AWSCompany Interviewing for - AmazonIndustry - E-commerce Designation - [Amazon Leadership Principle Questions for interview](https://thedatamonk.com/amazon-leadership-principle-questions-for-interview/) - This article is all about Amazon Leadership Principles for interviews. But why do we need to understand and prepare these principles?First and foremost, when you interview for Amazon, in either all the rounds or in some of the rounds there will be a lot of case studies or questions which need to be answered using - [Flipkart Business Analyst Interview Questions](https://thedatamonk.com/flipkart-business-analyst-interview-questions/) - Today is Day 18 and we will look into Flipkart Business Analyst Interview Questions. Flipkart mostly hires for Business Analyst and Senior Business Analyst position, you can try to get into the Data Science domain after entering into the organization. Kindly let us know if someone is working as a Data Scientist with <3 years - [Nykaa Data Analyst Interview Questions | Day 9](https://thedatamonk.com/nykaa-data-analyst-interview-questions/) - Nykaa Data Analyst Interview QuestionsName - NykaaDesignation - Senior Data AnalystLocation - GurgaonSalary - 22 LPA (including 10% variable)Level of questions - 7/10 Nykaa Data Analyst Interview Questions For the Senior Data Analyst position there were 4 rounds:Round 1 - Technical Screening (SQL heavy)Round 2 - Project, Case Study, and SQLRound 3 - SQL, Python, - [Statistics Complete Tutorial - 7 Days Analytics Course](https://thedatamonk.com/statistics-complete-tutorial/) - Statistics Complete TutorialWhat is Statistics in simple terms?In simple terms, statistics is a branch of mathematics that involves collecting, analyzing, interpreting, presenting, and organizing data. It provides methods for summarizing and making inferences from information. The goal of statistics is to gain insights into the characteristics of a group or a phenomenon based on a - [Case Study for Analytics Interviews - 7 Days Analytics](https://thedatamonk.com/case-study-for-analytics-interviews-2/) - Case Study for Analytics InterviewsSolving case studies in analytics interviews requires a combination of analytical skills, problem-solving abilities, and effective communication. Here's a step-by-step guide to help you approach and solve analytics case studies: 1. Understand the Problem: Read the case study thoroughly to understand the context, objectives, and constraints. Identify the key issues and - [Pandas Complete Tutorial - 7 Days Analytics](https://thedatamonk.com/pandas-complete-tutorial/) - Pandas Complete Tutorial In layman's terms, Pandas is like a powerful, easy-to-use toolbox for handling and playing with data in the Python programming language. Imagine you have a large table of information, like a spreadsheet, and you want to do all sorts of things with it - filter rows, add new columns, group data, and - [Python Complete Tutorial - 7 Days Analytics](https://thedatamonk.com/python-complete-tutorial-7-days-analytics/) - Python Complete TutorialIn simple terms, Python is a versatile and easy-to-learn programming language. It serves as a tool for people to instruct computers to perform various tasks. Python is known for its readability and straightforward syntax, making it accessible for beginners and powerful for experienced developers. It is widely used in web development, data analysis, - [Power BI Complete Tutorial - 7 Days Analytics Course](https://thedatamonk.com/power-bi-complete-tutorial/) - Power BI Complete Tutorial In simple terms, Power BI is a powerful business analytics tool developed by Microsoft that helps people visualize and understand their data. 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Here's a basic example to illustrate the concept: Imagine you're curious - [Machine Learning Tricky Interview Questions - Day 11](https://thedatamonk.com/machine-learning-tricky-interview-questions/) - Topic - Machine Learning Tricky Interview QuestionsExplain Machine Learning in simple termsMachine learning is a way for computers to learn how to do something without being explicitly programmed. It's like teaching a computer to make decisions by itself based on the data it has. Imagine you have a friend who has never seen a cat - [Pandas Interview Questions - Day 10](https://thedatamonk.com/pandas-interview-questions-3/) - Topic - Pandas Interview QuestionsWhat are the important features of Pandas due to which it is used widely in the Analytics domain?Pandas is a widely used Python library for data manipulation and analysis. It offers data structures and operations for manipulating numerical tables and time series. 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Here's a general approach you can follow to solve guesstimate questions: Understand the question: Read the question carefully and identify the key components - [Big Data Technologies Interview Questions - Day 6](https://thedatamonk.com/big-data-technologies-interview-questions/) - Big Data Technologies Interview QuestionsBig data technologies and methodologies have emerged to address the challenges presented by large and complex datasets. These technologies include distributed storage systems like Hadoop's HDFS, distributed data processing frameworks like Apache Spark, NoSQL databases, and machine learning techniques for data analysis. The applications of big data span across various industries, - [Case Study Interview Questions for Analytics - Day 5](https://thedatamonk.com/case-study-interview-questions/) - Topic - Case Study Interview QuestionsHow to solve case study in analytics interview?Solving a case study in an analytics interview requires a structured and analytical approach. Here are the steps you can follow to effectively solve a case study: Understand the Problem: Begin by carefully reading and understanding the case study prompt or problem statement. - [NumPy Interview Questions for Analytics - Day 4](https://thedatamonk.com/numpy-interview-questions-for-analytics/) - NumPy Interview Questions for AnalyticsIn the realm of data analytics, the ability to efficiently manipulate and process large datasets is crucial. NumPy (Numerical Python) stands out as a fundamental library that plays a pivotal role in achieving this efficiency. It provides an essential foundation for numerical and scientific computing in Python. In this comprehensive guide, - [Python for Analytics - Day 3](https://thedatamonk.com/python-for-analytics/) - Python for AnalyticsIn today's data-driven world, analytics plays a pivotal role in guiding decision-making processes across industries. Python, a versatile and dynamic programming language, has emerged as the go-to tool for data analytics. Its simplicity, robust libraries, and a vast community of developers have made Python an indispensable tool for data analysts and data scientists - [Mastering Pandas for Analytics - Day 2](https://thedatamonk.com/mastering-pandas-for-analytics/) - Mastering Pandas for AnalyticsPandas is a go-to library for data manipulation and analysis in Python. It provides powerful tools for working with structured data, making it a crucial skill for data scientists and analysts. When preparing for a Pandas interview, you'll likely encounter tricky questions that test your knowledge of this library's inner workings. In - [SQL Tricky Interview Questions - Day 1](https://thedatamonk.com/sql-tricky-interview-questions/) - SQL Tricky Interview QuestionsSQL, which stands for Structured Query Language, is a domain-specific programming language used for managing and manipulating relational databases. It is the standard language for interacting with relational database management systems (RDBMS), which are software systems designed to store, retrieve, and manage structured data. Here are some key aspects of SQL: Data - [How to do Exploratory Data Analysis in Python?](https://thedatamonk.com/exploratory-data-analysis-in-python/) - How to do Exploratory Data Analysis in Python?Exploratory Data Analysis (EDA) is an essential step in the data analysis process to understand the structure, patterns, and relationships within your dataset. Python offers various libraries, including Pandas, Matplotlib, Seaborn, and Plotly, to perform EDA effectively. How to do Exploratory Data Analysis in Python? Here's a step-by-step - [50 Most Important Pandas Functions](https://thedatamonk.com/50-most-important-pandas-functions/) - 50 Most Important Pandas FunctionsWhat is Pandas and their key features? Pandas is an open-source Python library that provides data structures and data analysis tools for working with structured data. It is one of the most widely used libraries in the field of data science and data analysis. Pandas is designed to simplify and accelerate - [10 Most Asked SQL Interview Questions](https://thedatamonk.com/10-most-asked-sql-interview-questions-2/) - 10 Most Asked SQL Interview Questions will help you understand the type of questions asked in SQL interviews in the Analytics domain.Below are the 10 Most Asked SQL Interview Questions.Here are a few FREE and paid resources that will help you in making career in AnalyticsThe Data Monk - We have 2000+ solved interview questions, - [AirBnB Data Scientist Interview Questions](https://thedatamonk.com/airbnb-data-scientist-interview-questions-3/) - AirBnB Data Scientist Interview QuestionsCompany Name -AirbnbDesignation - Data ScienceSalary - 15 to 22 LPA depending upon current CTC and graduation collegeInterview Year - 2023AirBnB Data Scientist Interview Questions Following is a set of questions asked in the interview at AirBnB, we request you to attempt these questionsRound 1 -Technical InterviewTopics covered -Application Data scienceMode - [OYO Data Analyst Interview Questions](https://thedatamonk.com/oyo-data-analyst-interview-questions-2/) - OYO Data Analyst Interview Questions Target job roles - Business Analyst, Data Analyst, Data Scientist, Business Intelligence Engineer, Product Analyst, Machine Learning Engineer, Data EngineerTarget Companies - FAANG and only product-based companies CTC offered - 12 to 20 LPA for Level 1 (0 to 4 YOE)20 to 35 LPA for Level 2 (Senior level - - [Flipkart Business Analyst Interview Questions](https://thedatamonk.com/flipkart-business-analyst-interview-questions-3/) - Flipkart Business Analyst Interview QuestionsWe have been curating interview questions for the Top Product based companies. 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Target job roles - Business Analyst, - [Myntra Business Analyst Interview Questions](https://thedatamonk.com/myntra-business-analyst-interview-questions-2/) - Myntra Business Analyst Interview QuestionsCompany Name - MyntraDesignation - Business AnalystSalary - 18 to 22 LPA (Depending on current CTC and graduation college)Number of rounds - 4Level of questions - Moderate to HardMyntra Business Analyst Interview Questions Round 1 - 50 MCQs to be solved in 60 minutesRound 2 - Technical Round with focus on - [Amazon Business Intelligence Engineer Questions | Day 4](https://thedatamonk.com/amazon-business-intelligence-engineer-questions/) - Amazon Business Intelligence Engineer QuestionsCompany Name - AmazonDesignation - Business Intelligence Engineer Salary - 15 to 30 LPA (Depending upon stock options and current CTC)Number of rounds - 7 (It also depends on the team for which you are getting interviewed)Level of the interview - ModerateAmazon Business Intelligence Engineer Questions In general, the interview process - [Amazon Business Intelligence Engineer Questions](https://thedatamonk.com/amazon-business-intelligence-engineer-questions-2/) - Amazon Business Intelligence Engineer QuestionsCompany Name - AmazonDesignation - Business Intelligence Engineer Salary - 15 to 30 LPA (Depending upon stock options and current CTC)Number of rounds - 7 (It also depends on the team for which you are getting interviewed)Level of the interview - ModerateAmazon Business Intelligence Engineer Questions In general, the interview process - [AirBnB Data Scientist Interview Questions](https://thedatamonk.com/airbnb-data-scientist-interview-questions-2/) - AirBnB Data Scientist Interview QuestionsCompany Name -AirbnbDesignation - Data ScienceSalary - 15 to 22 LPA depending upon current CTC and graduation collegeInterview Year - 2022AirBnB Data Scientist Interview Questions Following is a set of questions asked in the interview at AirBnB, we request you to attempt these questionsRound 1 -Technical InterviewTopics covered -Application Data scienceMode - [Zomato Business Analyst Interview Questions](https://thedatamonk.com/zomato-business-analyst-interview-questions-2/) - Zomato Business Analyst Interview QuestionsName of company - ZomatoDesignation - Business AnalystSalary - 15 to 20 LPA (including stocks)Number of rounds - 4Zomato Business Analyst Interview Questions There were in total 4 rounds in Zomato for the post of Business Analyst post. The focus was mostly on SQL and case studies. In order to apply - [How to make a career in Analytics?](https://thedatamonk.com/how-to-make-a-career-in-analytics/) - How to make a career in Analytics?The Data Monk can help you make a quick career transition to Analytics. We help in creating capabilities to help you become stronger in your technical skills and have been tested by 10000+ members.We are having a webinar on How to Make a career in Analytics? on 12th May'23 - [SQL Free Interview Questions and Cheatsheet](https://thedatamonk.com/sql-free-interview-questions-and-cheatsheet/) - SQL Free Interview Questions and Cheatsheet. Fill out the form below and also register for the website to keep on getting free analytics resources. 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Lenskart offers a wide - [Roadmap To Become Full Stack Analytics Professional](https://thedatamonk.com/roadmap-to-become-full-stack-analytics-professional/) - Roadmap To Become Full Stack Analytics ProfessionalAnalytics is a vast domain in itself, there are multiple job roles in this domain - Data Analyst, Business Analyst, Business Intelligence Engineer, Data Scientist, Data Engineer, and Machine Learning Engineer.This is an ever-growing field and it will be there for a long time.Making a career in Analytics is - [Dunzo Data Analyst Interview Questions](https://thedatamonk.com/dunzo-data-analyst-interview-questions/) - Dunzo Data Analyst Interview Questions will help you crack analytics roles in companies like Dunzo, Swiggy, Zomato, and other e-commerce companies. But, first have a look on What is Dunzo?Dunzo is a hyperlocal delivery startup that provides on-demand delivery services such as food, groceries, medicine, and other household essentials. The working model of Dunzo involves - [Dream11 Product Analyst Interview Questions](https://thedatamonk.com/dream11-product-analyst-interview-questions/) - Dream11 Product Analyst Interview QuestionsDream11 Product Analyst Interview Questions We have 100 case studies and guesstimate completely solved that are repeatedly asked in Analytics Interview. Do check it out. Why Analytics as a Career? Target job roles - Business Analyst, Data Analyst, Data Scientist, Business Intelligence Engineer, Product Analyst, Machine Learning Engineer, Data Engineer Target - [Flipkart Business Analyst Interview Questions](https://thedatamonk.com/flipkart-business-analyst-interview-questions-2/) - Flipkart Business Analyst Interview Questions - [Solved Business Case Study for Analytics](https://thedatamonk.com/solved-business-case-study-for-analytics/) - Solved Business Case Study for Analytics Target job roles - Business Analyst, Data Analyst, Data Scientist, Business Intelligence Engineer, Product Analyst, Machine Learning Engineer, Data Engineer Target Companies - FAANG and only product-based companies CTC offered -12 to 20 LPA for Level 1 (0 to 4 YOE)20 to 35 LPA for Level 2 (Senior level - [Swiggy Business Analyst Interview Questions](https://thedatamonk.com/swiggy-business-analyst-interview-questions/) - Swiggy Business Analyst Interview QuestionsTarget job roles - Business Analyst, Data Analyst, Data Scientist, Business Intelligence Engineer, Product Analyst, Machine Learning Engineer, Data Engineer Target Companies - FAANG and only product-based companies CTC offered -12 to 20 LPA for Level 1 (0 to 4 YOE)20 to 35 LPA for Level 2 (Senior level - 4 - [OYO Data Analyst Interview Questions](https://thedatamonk.com/oyo-data-analyst-interview-questions/) - OYO Data Analyst Interview Questions Target job roles - Business Analyst, Data Analyst, Data Scientist, Business Intelligence Engineer, Product Analyst, Machine Learning Engineer, Data EngineerTarget Companies - FAANG and only product-based companies CTC offered - 12 to 20 LPA for Level 1 (0 to 4 YOE)20 to 35 LPA for Level 2 (Senior level - - [Chapter 10 - 100 KNN and K Mean interview questions](https://thedatamonk.com/knn-and-k-mean-interview-questions/) - Topic - KNN and K Mean Interview QuestionsWelcome to the 2200 questions series from The Data Monk, in this series we will cover all the topics in a Question-Answer mode that are required for anyone who wants to make a career in the following field:-- Data Analysis- Business Analysis- Business Intelligence Engineering- Machine Learning- Data - [Chapter 6 - 50 Most Asked Linear Regression Interview Questions](https://thedatamonk.com/most-asked-linear-regression-interview-questions/) - Topic - 50 Most Asked Linear Regression Interview QuestionsWelcome to the 2200 questions series from The Data Monk, in this series we will cover all the topics in a Question-Answer mode that are required for anyone who wants to make a career in the following field:-- Data Analysis- Business Analysis- Business Intelligence Engineering- Machine Learning- - [Chapter 7 - 50 Most Asked Logistic Regression Interview Questions](https://thedatamonk.com/most-asked-logistic-regression-interview-questions/) - Topic - 50 Most Asked Logistic Regression Interview QuestionsWelcome to the 2200 questions series from The Data Monk, in this series we will cover all the topics in a Question-Answer mode that are required for anyone who wants to make a career in the following field:-- Data Analysis- Business Analysis- Business Intelligence Engineering- Machine Learning- - [Chapter 1 - 250 Most Asked SQL Interview Questions](https://thedatamonk.com/250-most-asked-sql-interview-questions/) - 250 Most Asked SQL Interview QuestionsWe are a group of 30+ Analytics professionals with an average experience of 6 years and we have curated a set of 250 questions that will first take you from a beginner level to a moderate+ level and will then help you to solve the tricky and complex interview questions.Our - [Chapter 3 - 100 Most Asked Pandas Interview Questions](https://thedatamonk.com/100-most-asked-pandas-interview-questions/) - Topic - 100 Most Asked Pandas Interview QuestionsWelcome to the 2200 questions series from The Data Monk, in this series we will cover all the topics in a Question-Answer mode that are required for anyone who wants to make a career in the following field:-- Data Analysis- Business Analysis- Business Intelligence Engineering- Machine Learning- Data - [Chapter 5 - 100 Solved Case Studies and Guesstimate](https://thedatamonk.com/solved-case-studies-and-guesstimate/) - Topic - Solved Case Studies and Guesstimate Welcome to the 2200 questions series from The Data Monk, in this series we will cover all the topics in a Question-Answer mode that are required for anyone who wants to make a career in the following field:-- Data Analysis- Business Analysis- Business Intelligence Engineering- Machine Learning- Data - [Chapter 2 -200 Most Asked Python Interview Questions for Analytics](https://thedatamonk.com/most-asked-python-interview-questions-for-analytics/) - Most Asked Python Interview Questions for AnalyticsWelcome to the 2200 questions series from The Data Monk, in this series we will cover all the topics in a Question-Answer mode that are required for anyone who wants to make a career in the following field:-- Data Analysis- Business Analysis- Business Intelligence Engineering- Machine Learning- Data Science- - [Chapter 4 - 100 Most Asked Numpy Interview Questions](https://thedatamonk.com/most-asked-numpy-interview/) - 100 Most Asked Numpy Interview QuestionsWelcome to the 2200 questions series from The Data Monk, in this series we will cover all the topics in a Question-Answer mode that are required for anyone who wants to make a career in the following field:-- Data Analysis- Business Analysis- Business Intelligence Engineering- Machine Learning- Data Science- Product - [Data Analyst Internship - 2023](https://thedatamonk.com/data-analyst-internship/) - The Data Monk is hiring 8 to 10 candidates for 1 month (remote) internship.Data Analyst Internship Qualification:-1. Should be in the 3rd or 4th year of graduation2. Should have good knowledge of SQL and basics of Python3. Should have a good understanding of at least one ML algorithm/concept out of Regression, NLP, Statistics, Forecasting, Classification, - [10 Machine Learning Interview Questions 1/5](https://thedatamonk.com/machine-learning-interview-questions-2/) - 10Machine Learning Interview QuestionsWhat is the most important ingredient in a good Analyst?The ability to crunch numbers and by far SQL has been the most important weapon of any Analytics Professional. it’s easy to use and understand. But, you can easily be surprised by the difficulty level and variety of questions asked in SQL interviews. - [10 Frequently asked SQL Interview Questions - 5/5](https://thedatamonk.com/frequently-asked-sql-interview-questions-2/) - 10 Frequently asked SQL interview QuestionsWhat is the most important ingredient in a good Analyst?The ability to crunch numbers and by far SQL has been the most important weapon of any Analytics Professional. it’s easy to use and understand. But, you can easily be surprised by the difficulty level and variety of questions asked in - [10 Tricky SQL interview Questions - 4/5](https://thedatamonk.com/tricky-sql-interview-questions-2/) - 10 Tricky SQL interview QuestionsWhat is the most important ingredient in a good Analyst?The ability to crunch numbers and by far SQL has been the most important weapon of any Analytics Professional. it’s easy to use and understand. But, you can easily be surprised by the difficulty level and variety of questions asked in SQL - [10 Frequently asked SQL interview questions - 3/5](https://thedatamonk.com/frequently-asked-sql-interview-questions/) - 10 Frequently asked SQL interview questionsWhat is the most important ingredient in a good Analyst?The ability to crunch numbers and by far SQL has been the most important weapon of any Analytics Professional. it’s easy to use and understand. But, you can easily be surprised by the difficulty level and variety of questions asked in - [10 SQL Important Interview Questions - 2/5](https://thedatamonk.com/10-sql-important-interview-questions/) - 10 SQL Important Interview QuestionsWhat is the most important ingredient in a good Analyst?The ability to crunch numbers and by far SQL has been the most important weapon of any Analytics Professional. it’s easy to use and understand. But, you can easily be surprised by the difficulty level and variety of questions asked in SQL - [10 Most asked SQL Interview Questions - 1/5](https://thedatamonk.com/10-most-asked-sql-interview-questions/) - 10 Most asked SQL Interview QuestionsWhat is the most important ingredient in a good Analyst?The ability to crunch numbers and by far SQL has been the most important weapon of any Analytics Professional. it’s easy to use and understand. But, you can easily be surprised by the difficulty level and variety of questions asked in - [EXL Senior Consultant Interview Questions | Day 8](https://thedatamonk.com/exl-senior-consultant-interview-questions/) - Topic - EXL Senior Consultant Interview Questions Company - EXL ServicesDesignation - Senior ConsultantSalary - 35 to 45 LPA (depending upon current CTC, no stocks)Experience - 5+ years of analytics experienceNumber of Rounds - 3EXL Senior Consultant Interview Questions Interview at EXL I was interviewed at EXL services for the Gurgaon location, the overall process - [Swiggy Data Analyst Interview Questions | Day 8](https://thedatamonk.com/swiggy-data-analyst-interview-questions-2/) - Swiggy Data Analyst Interview QuestionsName of company – SwiggyDesignation – Data AnalystSalary – 10 to 12 LPANumber of rounds – 3Swiggy Data Analyst Interview Questions Swiggy Data Analyst Interview Questions There were in total 4 rounds in LinkedIn for the post of Business Analyst post. The focus was mostly on SQL and case studies. Swiggy - [Meesho Analytics Manager Interview Question | Day 7](https://thedatamonk.com/meesho-analytics-manager-interview-question-day-7/) - Topic - Meesho Analytics Manager Interview QuestionCompany Name - MeeshoLocation - RemoteSalary - 45 to 60 LPA(10% stocks, depending on current and counter offer)Experience Required - 7+ yearsExpertise - Big Data Infrastructure, SQL and Problem SolvingMeesho Analytics Manager Interview Question Number of Rounds - 3Round 1 - SQL and Project (3 hours Hangout Interview)Round 2 - [Python Analytics Interview MCQs](https://thedatamonk.com/python-analytics-interview-mcqs/) - Topic - Python Analytics Interview MCQs Number of questions - 10Difficulty level - BegineerTarget Score - 8Python Analytics Interview MCQs [quiz-cat id="4722"] Day 5 - Linkedin Business Analyst Interview Questions - https://lnkd.in/g74GvNFuDay 4 - Amazon most asked interview questions - https://lnkd.in/gCZEGrcCDay 3 - Myntra Interview Questions - https://lnkd.in/gSYNbM-8Day 2 - AirBnB Data Scientist Interview Questionhttps://lnkd.in/gzjy7kUbDay 1 - - [LinkedIn Business Analyst Interview Questions | Day 5](https://thedatamonk.com/linkedin-business-analyst-interview-questions/) - LinkedIn Business Analyst Interview Questions Name of company – LinkedInDesignation – Business AnalystSalary – 12 to 15 LPA (including stocks)Number of rounds – 4Complete explanation of LinkedIn Business Analyst Interview Questions There were in total 4 rounds in LinkedIn for the post of Business Analyst post. The focus was mostly on SQL and case studies. - [Myntra Business Analyst Interview Questions - Day 3](https://thedatamonk.com/myntra-business-analyst-interview-questions/) - Myntra Business Analyst Interview QuestionsCompany Name - MyntraDesignation - Business AnalystSalary - 15 to 18 LPA (Depending on current CTC and graduation college)Number of rounds - 4Level of questions - Moderate to HardMyntra Business Analyst Interview Questions Round 1 - 50 MCQs to be solved in 60 minutesRound 2 - Technical Round with focus on - [AirBnB Data Scientist Interview Questions | Day 2](https://thedatamonk.com/airbnb-data-scientist-interview-questions/) - AirBnB Data Scientist Interview QuestionsCompany Name -AirbnbDesignation - Data ScienceSalary - 15 to 22 LPA depending upon current CTC and graduation collegeInterview Year - 2022AirBnB Data Scientist Interview Questions Following is a set of questions asked in the interview at AirBnB, we request you to attempt these questionsRound 1 -Technical InterviewTopics covered -Application Data scienceMode - [Zomato Business Analyst Interview Questions - Day 1](https://thedatamonk.com/zomato-business-analyst-interview-questions/) - Zomato Business Analyst Interview QuestionsName of company - ZomatoDesignation - Business AnalystSalary - 15 to 20 LPA (including stocks)Number of rounds - 4Zomato Business Analyst Interview Questions There were in total 4 rounds in Zomato for the post of Business Analyst post. The focus was mostly on SQL and case studies. In order to apply - [Data Analyst Internship 2022](https://thedatamonk.com/data-analyst-internship-2022/) - The Data Monk is hiring 8 to 10 candidates for 1 month (remote) internship. Qualification:-1. Should be in the 3rd or 4th year of graduation2. Should have good knowledge of SQL and basics of Python3. Should have a good understanding of at least one ML algorithm/concept out of Regression, NLP, Statistics, Forecasting, Classification, and Solving - [Case Study for Analytics Interview - Part 2](https://thedatamonk.com/case-study-for-analytics-interview/) - Case Study for Analytics Interview – In this space, we will try to cover case studies that are actually asked in Analytics interviews. Every company asks for case studies in their interview process and it is one of the important rounds where you show your business acumen to the interviewer.If you are reading this question - [Analytics Case Study - 1](https://thedatamonk.com/analytics-case-study/) - Analytics Case Study - In this space, we will try to cover case studies that are actually asked in Analytics interviews. Every company asks for case studies in their interview process and it is one of the important rounds where you show your business acumen to the interviewer.If you are reading this question then do - [Most Asked Pandas Questions - Part 4](https://thedatamonk.com/most-asked-pandas-questions/) - Most Asked Pandas QuestionsWelcome to the 4th Part of Most Asked Pandas Questions. Here we have already covered 30 most asked questions in Pandas. Go through all the questions below and if possible, practice them in your system. Comment below if you have any other use case or question on Pandas 30. What is Cumsum() - [Pandas Interview Questions - Part 3](https://thedatamonk.com/pandas-interview-questions-2/) - Pandas Interview QuestionsThis is the second part of the Pandas Interview Questions, in the first part we touch base on the basics of Pandas, in the second we moved to some more concepts.The sole aim of the post is to cover around 50-60 most asked Pandas questions asked in the Analytics interview (Data Analyst, Business - [Pandas Most Asked Questions - Part 2](https://thedatamonk.com/pandas-most-asked-questions/) - Pandas Most Asked QuestionsThis is the second part of the Pandas Most Asked Questions, in the first part we touch base on the basics of Pandas. The sole aim of the post is to cover around 50-60 most asked Pandas questions asked in the Analytics interview (Data Analyst, Business Analyst, Business intelligence Engineer, Data Scientist, - [Pandas Interview Questions - Part 1](https://thedatamonk.com/pandas-interview-questions/) - Pandas Interview QuestionsWe will have 10-15 questions in each post with solutions and you can complete the series in 4-5 posts. Go through each question and practice on your systemI this part of Pandas Interview Questions, we will cover the very basics. Q1. What is Pandas ? A1. Pandas is a powerful, flexible, open source - [Data Analytics Internship 2022](https://thedatamonk.com/data-analytics-internship/) - Data Analytics Internship Link to fill form A few points to remember:-- Make sure to add points that make you stand out from other- We will be going through the resume after the first round of shortlist- Be ready to work hard for one month and we guarantee you a good grasp on some of - [Uber Data Scientist Interview | Day 10](https://thedatamonk.com/uber-data-scientist-interview-day-10/) - Uber Data Scientist InterviewCompany - Uber TechnologiesDesignation - Data ScientistExperience required - 3+ years of Data Science or Analytics ExperienceCompensation - We have seen candidates asking and getting 10X their year of experience. But it also depends on your current salary and counteroffersExpertise required - Machine Learning Algorithms and their implementationUber Technologies, Inc. focuses on - [Machine Learning Interview Questions | Day 6](https://thedatamonk.com/machine-learning-interview-questions-day-6/) - Welcome to the 6th Day of Machine Learning Interview Questions.You can go through the question and answer forDay 1Day 2Day 3Day 4Day 5Machine Learning Interview QuestionsIn this series, all you need to do is to go through the questions and try to attempt it with whatever knowledge you have.Before or after you attempt the questions, - [Data Analytics Interview Quiz | Day 4](https://thedatamonk.com/data-analytics-interview-quiz-day-4/) - Welcome to the 3rd Day of Data Analytics Interview Quiz.You can go through the question and answer forDay 1 Day 2 Day 3 The best answer to the quiz was provided by Raahul for all three daysData Analytics Interview QuizIn this series, all you need to do is to go through the questions and try to - [The Data Monk - Books, Products, and Services](https://thedatamonk.com/the-data-monk-books-products-and-services/) - The Data Monk is a question-answer portal that helps you prepare for interviews in the analytics and engineering domain.You might be using The Data Monk for a few months now or might be a first-time visitor, we both must be aligned to what we can provide you and what other companies can provide you. Whenever - [Amazon Data Science Interview Questions - Updated 2022](https://thedatamonk.com/amazon-data-science-interview-questions/) - Today is Day 12 and from today onwards we will take one company at a time and will try to solve 10 questions asked in these interviews.We will start with Amazon Data Science Interview Questions.The questions of Day 12 will have mixed questions asked in the third round.Try to solve all of the following Amazon - [Myntra Data Science Interview Questions - Updated 2022](https://thedatamonk.com/myntra-data-science-interview-questions-2/) - Today is Day 13 and we will deal with the recruitment process of MyntraMyntra Data Science Interview Questions given below will guide you through the difficulty level of the questions asked.Overall there are 4-5 rounds in the complete processRound 1 - 50 SQL questions (MCQ) in one hourRound 2 - Case Study and Guesstimate (Major - [What is Data Science and How to make a career in it?](https://thedatamonk.com/day-1-what-is-data-science-and-how-to-make-a-career-in-it/) - Ahh..I won't lie, It's quite simple to start a career in Data Science. You just have to be street smart :PThere is no fix job or delivery when you work as a Data Scientist or Decision Scientist, you have to take up things as it comes to you. One day you might be crunching numbers, - [How to make a career in Data Science? Data Science Preparation](https://thedatamonk.com/how-to-make-a-career-in-data-science/) - People have always been curious about how to make a career in data science or how to enter this domain after an experience of, say 3-4 years.We will help you in providing Data Science preparation strategyShould I do a course from Simplilearn?Should I try Udemy?I know Python is the key to Data Science?Is it about - [How to apply for Analytics jobs?](https://thedatamonk.com/how-to-apply-for-analytics-jobs/) - How to apply for Analytics jobs?Lately, I have seen articles on Linkedin about people looking for jobs. This brief article is for all those people who are into job-hunting. There is a possibility that you are doing everything correctly but are not getting any calls, but do go through the following post if you want - [Free Seminar and Mock Interview to make a career in Analytics Domain](https://thedatamonk.com/make-a-career-in-analytics-domain/) - Make a career in Analytics domain - [Analytics Salaries in India](https://thedatamonk.com/analytics-salaries-in-india/) - Analytics Salaries in IndiaIn this post, we will try to keep a clear picture of salaries that are drawn in different companies for different posts. We have a bunch of people working in top product based companies who are willing to share their details to make it more transparent for people applying in these companiesWhat - [Buy The Data Monk e-book online](https://thedatamonk.com/buy-the-data-monk-e-book/) - Buy The Data Monk e-bookThis place is dedicated to guiding you through all the e-books that we have, which book is for whom and how to purchase these books, and how to read these e-booksBuy The Data Monk e-book Why choose The Data Monk e-books? There are multiple reasons because of which we have focused - [Data Science books](https://thedatamonk.com/data-science-books/) - The Data Monk have more than 30 e-books on Amazon. Below are the links and a small description of each book. We also have a couple of offers on direct purchase. How to crack a job in Analytics domain (Data Science/Data Analyst)?A detailed approach has been shared on our blog, please read it here.Data Science - [Statistics Interview Questions for Data Science](https://thedatamonk.com/statistics-interview-questions-2/) - Here we have a set of 17 statistics interview questions that you should understand before your data science interviews. These are very basic Statistics questions which will check your elementary knowledge 15+ correct = Very strong fundamentals10-15 correct = At par with the concepts, you should try to complete one basic book on statistics - [Data Science Interview Questions](https://thedatamonk.com/data-science-interview-question-day1/) - We will be doing Data Science interview questions on a daily basis. So you will be receiving 10 Data Science interview questions for the next 30 days on topics like SQL, Python, Case Studies, Machine Learning, Statisti Let's start today and finish most of the questions in the next 30 days. Day 1 is an - [SQL Interview Questions - Data Science Quiz - Day 2](https://thedatamonk.com/sql-interview-questions/) - SQL interview questions - Day 2 of the quiz will have most of the questions from SQL SQL is one of the most useful language for a Data Scientists. These SQL interview questions will help you in understanding the types of questions asked in a Data Science interviews. All the Data Science/Analyst/Business Analyst recruitment has - [Joins in SQL | Data Science Quiz | Day 3/30](https://thedatamonk.com/joins-in-sql/) - We will concentrate on Joins in SQL on the third day of our quiz. Data Science has a lot to do with SQL and in your DS interviews, Joins in SQL will occupy a lot of time There are mainly four types of joins in SQL- Inner Join- Left Join- Right Join- Outer JoinYou can - [R interview Questions](https://thedatamonk.com/r-interview-questions/) - Today is Day 10 and we will try to solve the top 10 R Interview questions. These questions will revolve around statistics and algorithms with case studies. Try to answer these R interview Questions Before we get started, do create your profile on the website. The ‘Login’ area is at your extreme left ? Here - [SQL Intermediate interview questions](https://thedatamonk.com/sql-intermediate-interview-questions/) - Today is Day 11 and we have SQL Intermediate Interview Questions for Data Science interviews.There are two parts of this article, the first one is, as usual, the daily quiz where we have 10 SQL intermediate interview questions and you will get 10 points by answering each question. Secondly, there are 10 very basic questions - [Statistics Interview Questions](https://thedatamonk.com/statistics-interview-question/) - Today we will counter statistics interview question, A Data Science interview will definitely have a good round of statistics. Interviewer will rarely ask you a very mathematical question. But, statistics interview questions will have lots of small but tricky questions. Before we get started, do create your profile on the website. The 'Login' area is - [Machine Learning Interview Questions | Day 5](https://thedatamonk.com/machine-learning-interview-question/) - For Day 5 we will concentrate on Machine Learning Interview Questions. The following 10 questions are mostly asked by an interviewer to know the level of clarity in basics of ML.We have covered 10 questions on SQL, Statistics, and case studies in the first 4 days. The below mentioned Machine Learning Interview Questions will help - [Forecasting Interview Questions | Day 6](https://thedatamonk.com/forecasting-interview-questions/) - Forecasting is one of the popular domains in Data Science. If you are exploring Data Science then you should definitely look into this domain.Today is Day 6 and we will have 10 Forecasting interview questions for you. These forecasting interview questions are of intermediate level and are asked very often in the interviews Before we - [ARIMA interview questions | Day 7](https://thedatamonk.com/arima-interview-questions/) - Today is Day 6 and we will have 10 ARIMA interview questions for you. These ARIMA interview questions are of intermediate level and are asked very often in the interviews Before we get started, do create your profile on the website. The ‘Login’ area is at your extreme left ? You can get previous days questions here Day - [Guesstimates for Data Science Interviews](https://thedatamonk.com/guesstimates-for-data-science-interviews/) - Today is Day 14 and we all sharing 5 solved Guesstimates for Data Science Interviews. Case Studies and Guesstimates are asked in almost every Data Science interviews. Case Studies checks the business acumen of a candidate whereas Guesstimates check the logical and analytical thinking of the candidate. Following are a few solved Guesstimates for Data - [Linear Regression Interview Questions](https://thedatamonk.com/linear-regression-interview-questions/) - Today is Day 19 and we will clear all the Interview Questions related to Linear Regression. Linear Regression Interview Questions is the first part of the three days series. All the questions of today will revolve around the assumptions of Linear Regression.Go through the below Linear Regression Interview Questions What is Linear Regression - https://thedatamonk.com/question/linear-regression-what-is-a-linear-regression/What - [How to learn Python for Data Science?](https://thedatamonk.com/learn-python-for-data-science/) - Python is one of those languages which is present in almost all of the computer science domain, you can use it in Web Development, Software Development, Data Science, and even in building games.Here we will talk about, how to learn python for data science?To learn Python for Data science, all you need is 2-3 hours - [Statistics Data Science Interview Questions | Day 38](https://thedatamonk.com/statistics-data-science-interview-questions/) - Day 38 - Statistics Data Science Interview QuestionsWe will look after at 100+ most asked Statistics Data Science Interview Questions EXL Interview Questions| Data Subsets EXL Interview Questions| Bernoulli Trial Generator EXL Interview Questions| Fair or Unfair EXL Interview Questions| Data Subsets Lowe’s Interview Questions | Ace Lowe’s Interview Questions | Geometric Distributed Random Variable - [R Data Science Interview Questions | Day 39](https://thedatamonk.com/r-data-science-interview-questions/) - Practice all the R Data Science Interview Questions. You can try to solve the same questions in Python also. Create your account by clicking on the Login area above and start practicing R Data Science Interview Questions.Once you are good to go with these questions, you can try the questions on SQL and StatisticsSQL - - [SQL Most Asked Interview Questions](https://thedatamonk.com/sql-most-asked-interview-questions-2/) - SQL most asked interview questions - Below are some of the handpicked questions asked in most of the product and service-based companies. So, try to practice 6-8 SQL most asked interview questions SQL Most Asked Interview Quesitons SQL Interview Questions | PARTITION key SQL Interview Questions | Solving Database Problem SQL Interview Questions | Separate - [NULL functions in SQL | Day 42](https://thedatamonk.com/null-functions-in-sql/) - Day 42 - Today we will cover all the five types of NULL functions in SQL.These functions are very useful while you deal with large datasets.The article has been prepared by Prakash DwivedyLet's start with NULL functions in SQL ISNULL() : This is used in both MYSQL and SQL Server. In SQL Server this function - [How to solve data science Hackathon - PIMA Diabetes](https://thedatamonk.com/how-to-solve-data-science-hackathon/) - How to solve data science HackathonWe at The Data Monk always believe in learning while coding and practicing. In this process we come across multiple things and one such learning tool is Hackathon. There are different websites like www.analyticsvidhya.com or https://www.kaggle.com/How to solve data science Hackathon?The best way is to get your hands dirty and - [Import and Export into Googlesheet and AWS using R](https://thedatamonk.com/import-and-export-googlesheet-and-aws-in-r/) - Import and Export Googlesheet in R using GoogleSheet4 packageRecently I was working to sync some data from R to AWS S3 bucket and Googlesheet.Problem Statement - R has retired the package googlesheet package and now you don't have to use google authenticator each time you sync a sheet in R for any reporting. Import and - [Analytics Jobs in India](https://thedatamonk.com/analytics-jobs-in-india/) - This post 'Analytics Jobs in India' is created to help you in landing the right page and person to contacr for an opportunity in AnalyticsThis page will contain list of openings and referral in Analytics division. Under the Analytics Jobs in India we hill provide you information about the following posts:-1. Data Scientist2. Data Analyst3. - [Top Data Science Interview Questions](https://thedatamonk.com/top-data-science-interview-questions/) - Top Data Science Interview QuestionsWe have covered more than 30 different companies, their interview processes, questions, answers, and salary across India. Try to cover these questions before any interview Top Data Science Interview Questions Snapdeal - https://thedatamonk.com/snapdeal-data-science-interview-questions/Jio - https://thedatamonk.com/jio-data-science-interview-questions/E-Bay - https://thedatamonk.com/e-bay-data-science-interview-question/Dunzo - https://thedatamonk.com/dunzo-data-science-interview-question/PhonePe - https://thedatamonk.com/phonepe-data-science-interview-questions/Nvidia - https://thedatamonk.com/nvidia-data-science-interview-questions/Cred - https://thedatamonk.com/cred-data-science-interview-questions/MasterCard - https://thedatamonk.com/mastercard-data-science-interview-questions/BCG - https://thedatamonk.com/bcg-data-analyst-interview-questions/American Express - - [P-value in Linear Regression](https://thedatamonk.com/p-value-in-linear-regression/) - P-value in Linear RegressionSuppose a child in the family goes to the school daily and one day, his teacher writes to his mother in the school diary that your son is very naughty and he was found fighting with another kid. This situation is quite common in schools and like any mother, this child’s mother - [Explain type 2 error in simple terms](https://thedatamonk.com/type-2-error-in-simple-terms/) - Type 2 error in simple termsConfusion Matrix is one of those concepts which is a bit confusing but is also asked to candidates in order to check their clarity of concepts.There could be questions like,"Explain a model which is 99% accurate but still of no use to the company"The answer lies to the understanding of - [Order of Execution of SQL commands](https://thedatamonk.com/order-of-execution-of-sql-commands/) - Order of Execution of SQL commands is among the most asked questions in Data Science or Data Analytics interview. You need to understand how the command flows in order to write optimized queries.Why do we need to optimize our queries?When you are dealing with a dummy dataset then you don't actually care about optimizing your - [Guesstimate - Annual income of a beggar in Bangalore](https://thedatamonk.com/annual-income-of-a-beggar/) - Annual income of a beggar in Bangalore Guesstimate is asked in an interview to understand the analytical understanding of the candidate as well as to check his thought/approach diversity. Guesstimates can range from finding the number of 'Red' Cars in Delhi to the number of trees in Bangalore. In one such interview, the candidate was - [Missing Value Treatment by mean, mode, median, and KNN Imputation | Day 5](https://thedatamonk.com/missing-value-treatment/) - Missing Value Treatment by mean, mode, median, and KNN ImputationOne of the most important technique in any Data Science model is to replace missing values with some numbers/values.We can't afford to remove the rows with missing values as there will be a lot of columns and every column might have some missing values. Removing all - [Data Science Model with high accuracy in training dataset but low in testing dataset](https://thedatamonk.com/data-science-model/) - What do you mean when I say “The model has high accuracy in Training dataset but low in testing dataset"Data Science model interview question Answer by Swapnil It means the model is getting trained to the noise in the data and trying to fit exactly to the training data rather than generalizing it well over - [Regression Line vs Line of Best Fit](https://thedatamonk.com/regression-line-vs-line-of-best-fit/) - Regression Line vs Line of Best Fit,understand the difference between the two concepts of Linear RegressionRegression Line vs Line of Best Fit The regression line (curve) consists of the expected values of a variable (Y) when given the values of an explanatory variable (X). In other words it is defined as E[Y|X = x]. To - [Best Fit Line in Linear Regression](https://thedatamonk.com/best-fit-line-in-linear-regression/) - Best Fit Line in Linear RegressionThe best fit line in linear regression is the one which tries to minimize the Residual sum of squares.It is the line which is supposed to give the best predictions on the unseen data depending on the trainingdata on which it is built.. In simple regression with on independent variable - [Tuple in Python | Python for Data Science | Day 3](https://thedatamonk.com/tuple-in-python/) - Hello, Python fam!Let’s get started with an essential concept in Python i.e. Tuples. Like all programming languages, Python uses buckets i.e. data structures to hold data for further computation. Tuple is Python’s exclusive data structure that is immutable and supportive of comma-separated heterogeneous data. Don’t get dazed by the image above. Tuples are pretty easy - [Dictionary in Python | Python for Data Science | Day 4](https://thedatamonk.com/dictionary-in-python/) - Hello, The Data Monk family! We hope you would have read our last tutorial on tuples. If not, do read the article to clarify your concepts. Now, it’s time for us to learn about dictionary in Python. Python’s dictionary is analogous to hash table in C++. Dictionary in Python is a data structure that comprises key, value - [Install Python | Python for Data Science | Day 1](https://thedatamonk.com/install-python/) - Hey there, Pythonistas!If you’ve landed on this page for learning Python, congratulations! You have already taken the first step towards this incredible journey. Follow this tutorial thoroughly to learn how to install Python. Python’s object-oriented approach will make this your favorite programming language for all types of projects- small and large scale. No more waiting, - [Hello World | Python for Data Science | Day 2](https://thedatamonk.com/hello-world/) - Hello Pyfans! In the previous article, we discussed Python installation. Now it’s time for us to dive into the code. For any programming language, the very first program is “Hello, World!”. The famous “Hello, World!” program is used to illustrate the basic syntax of a language. So, let’s acquaint ourselves with the environment and write our - [Break, Continue and Pass in Python | Python for Data Science | Day 7](https://thedatamonk.com/break-continue-and-pass-in-python/) - For this tutorial, we will walk you through a very important concept - Break, Continue and Pass in Python. This article will primarily focus on the use of the three keywords Break, Continue and Pass in Python by taking instances of different situations and loops.Break, Continue and Pass in Python So, without further ado, let’s - [Functions in Python | Python for Data Science | Day 9](https://thedatamonk.com/functions-in-python/) - The Data Monk is back with a fresh topic for you. It’s time to discuss functions in Python. In plain vanilla terms, functions in Python are reusable pieces of code. Basically, functions allow you to name a block of code i.e. a group of statements that can be reused using that name anywhere in the program. - [Palindrome in Python | Python for Data Science | Day 6](https://thedatamonk.com/palindrome-in-python/) - Ciao amici! The Data Monk community is back with another new topic for you. It’s time for some programming, as we discuss the palindrome program in python. But, before you open your notebooks, let’s discuss what really is a palindrome. Palindrome is a string that spells the same when read backwards. To give it a try, - [For Loop in Python | Python for Data Science | Day 5](https://thedatamonk.com/for-loop-in-python/) - Hola amigos! Your friends at The Data Monk are back with another absorbing topic- For Loop in Python. In vanilla terms, a For Loop in Python is used to execute a set of instructions for “n” no. of times i.e. it is used to iterate over instructions. Given a list of students, say students=[ “Amyra”, “Baskin”, - [Lists in Python | Python for Data Science | Day 8](https://thedatamonk.com/lists-in-python/) - Our agenda for today is - Lists in Python. In Python, whenever we need to store a sequence of values, lists in python are a go-to! They are used to store heterogenous data and are mutable. In this tutorial, we will cover precisely all aspects of lists from creation to deletion. So, follow this article - [Abs() and Round() in Python | Python for Data Science |Day 10](https://thedatamonk.com/abs-and-round-in-python/) - Hello, Python gang!The Data Monk is back with a new agenda for today. Let’s stick to the abs() and round() in Python functions for the discussion today. The two functions, abs() and round() in Python are used in the mathematical aspects of Python. They are very easy to understand. Just follow along as we hop - [Splitting data set in Python | Python for Data Science | Day 11](https://thedatamonk.com/splitting-data-set-in-python/) - Hey, The Data Monk Fellas! We are back for you with yet another topic in Python. Today we will be discussing “splitting data set in Python”. Follow this tutorial thoroughly to get a complete overview of this significant topic in the discipline of ML. So, before we dive into the procedure of splitting data set in - [Enumerate() in Python | Python for Data Science | Day 12](https://thedatamonk.com/enumerate-in-python/) - Hello, Python tribe! We hope you are enjoying our content so far. Today, we will be discussing a very easy topic - enumerate() in Python. So, without further ado, let’s quickly discuss what the enumerate() function does. Basically, enumerate() in Python is used to register the number of iterations, by returning a unique enumerate-type object. Let’s - [Map() in Python | Python for Data Science | Day 13](https://thedatamonk.com/map-in-python/) - Welcome to our tutorial on Map() in Python. This article will cover various instances to demonstrate how map() in Python can be used in various instances. The map() function has two parameters - an iterable object (to be iterated upon) and a function (to implement on the iterable object). Thus, eliminating the need for a - [Type() and isinstance() in Python | Python for Data Science | Day 15](https://thedatamonk.com/type-and-isinstance-in-python/) - Hello, Team Python!The Data Monk is back with wholesome content on Type() and isinstance() in Python in Python.We will discuss Type() and isinstance() in Python in Python with the help of various code samples. So, stay with us for the rest of the article, as we make it lucid for you! type() The type() function - [Range() in Python | Python for Data Science | Day 16](https://thedatamonk.com/range-in-python/) - We hope you are putting your time to a productive The Data Monk is back with a new tutorial for you. The range() in Python function is used to return a sequence of numbers within the specified numbers. Let’s discuss range() in Python function in detail. The range() function has three parameters: start, stop and step. - [Installing XGBoost and pandas_profiling in MacOS](https://thedatamonk.com/installing-xgboost-and-pandas_profiling-in-macos/) - IInstalling xgboost and pandas_profiling in MacOSWhy are we writing this article to install a simple library?It's because there is a high probability that you will face issues while importing xgboost in your Jupyter notebook on a MacOS. You will come across a lot of tutorial videos, stackoverflow, and what not.Chances are that you might waste - [Daily Data Science Quiz to crack Data Science Interview | Day 8](https://thedatamonk.com/statistics-interview-questions-3/) - There are Statistics interview questions on this page as well as the website which will help you in cracking any Analytics interview. It will at least make you a better candidate in any Data Analyst/Business Analyst/Data Scientist role Statistics interview questions Statistics – Define Degree of Freedom with exampleMachine Learning – Linear and Logistic Regression comparison - [Python Interview Questions for Data Science | 2021](https://thedatamonk.com/python-interview-questions-for-data-science/) - Python Interview Questions for Data Science.There has been a change in the type of questions asked in Python in the Data Science or Analyst interviews. Previously the questions were more around the libraries like Pandas and Numpy. There used to be questions around the implementation of various algorithms. But now a lot of questions are - [Daily Quiz to crack Data Science Interview | Day 14](https://thedatamonk.com/data-analyst-interview-questions/) - Data Analyst Interview QuestionsData Analyst Interview Questions Day 14 Questions:-Case Study - How TVF/Netflix makes money ?Python - Find the maximum out of three numbersSQL - Use of IFNULL and ISNULL Statistics - Find the coefficient of VariationMachine Learning - How to choose K in K-means? Data Analyst Interview Questions Interview Question with answer and - [Python Quiz 3 | Daily Quiz 3](https://thedatamonk.com/python-quiz/) - Python Quiz for Data Science Try the following quiz, it has 10 fairly simple questions on minute Python concepts.Comment your score below and do mention if you would like to have more quizzes.Python for Data Science We will obviously increase the level of questions and will be covering SQL, R, Machine Learning, Statistics and Python - [Machine Learning MCQ | Daily Quiz 5](https://thedatamonk.com/machine-learning-mcq/) - Try to answer the following Machine Learning MCQ. Comment your score below and go through some of our resources (articles/interview questions/youtube videos) if you think that you need to revise a few concepts :)Machine Learning MCQ Your scores will help us understand the difficulty level of the questions [quiz-cat id="4828"] Python MCQ Quizzes. - https://thedatamonk.com/mcq-quiz/ - [Most asked Data Science Questions - 8/30](https://thedatamonk.com/most-asked-data-science-questions/) - Most asked Data Science QuestionsWelcome to the Most asked Data Science Questions. Today we will cover some basic topics on SQL, Python, Machine learning and Case Study. Let’s get started with the Most asked Data Science Questions. Videos to cover for Most asked Data Science Questions: To start off you shall cover Rotate an array - [Difference between SQL and NoSQL](https://thedatamonk.com/difference-between-sql-and-nosql/) - Difference between SQL and NoSQLThere are two types of databases that are used predominantly across all the domains. Your organization might be using SQL or NoSQL or both. You might hear about these types of databases from the data engineers/engineering manager in your teamLet's discuss the difference between SQL and NoSQL one by one Difference - [Myntra Analytics Manager Interview Questions](https://thedatamonk.com/myntra-analytics-manager-interview-questions/) - Myntra Analytics Manager Interview QuestionsCompany Name – MyntraPosition – Analytics Manager (Hands-on)Salary – 18 - 25 LPA depending on experience and last compensationDifficulty Level – HardHow to apply – Naukri.com, Linkedin, Amazon job portal, and ReferralsNumber of rounds – It ranges from 4 to 6 (depending on the team you are interviewing for)Job Location – BangaloreMyntra Analytics Manager Interview Questions The interview - [Regular Expression in Python](https://thedatamonk.com/regular-expression-in-python/) - Regular Expression in PythonWe will start with Regular Expressions. RegEx is a way of creating a rule to filter what you want from your data. We will keep Python as a consistent coding language for this complete exercise. Let's start with Regular Expression in Python Many of you must have come across SQL questions where - [Feature selection methods in Model Building](https://thedatamonk.com/feature-selection-methods-in-model-building/) - Feature selection methods in Model Building When we deal with Big Data then there is a high chance of having a plethora of columns and rows in our dataset. Selecting a group of columns is the crux of your model's performance. There are multiple methods for selecting columns from your table to build your model.Feature - [The Data Monk - Internship 2022](https://thedatamonk.com/the-data-monk-internship-2022/) - This is the place where we will be posting all our open positions. 1. Marketing Intern - We are building our marketing team and need a few enthusiastic personalities to walk the road with us. We are a fairly new company and are try our best to provide quality material to Analytics Domain.The below Internship - [Deloitte Data Scientist Interview Questions | Day 21](https://thedatamonk.com/deloitte-data-scientist-interview-questions/) - Day 21 - Deloitte Data Scientist Interview QuestionsToday we will look into the complete procedure of Deloitte recruitment. Let's start with Deloitte Data Scientist Interview Questions Company Name – Deloitte Location - Bangalore Position – Data Scientist Number of Rounds – 4 Round 1 – Technical Interview (R/Python) Round 2 – Case Study and Guesstimate - [Supervised Learning Data Science Questions - Part 3/4](https://thedatamonk.com/supervised-learning-data-science-questions/) - Supervised Learning Data Science Questions. This is the third part of the series Supervised Learning Data Science Questions.Part 1-https://thedatamonk.com/supervised-learning-interview-questions/Part 2-https://thedatamonk.com/supervised-learning-interview-question/Part 4-https://thedatamonk.com/supervised-learning-questions/ 1. What is Logistic Regression? Logistic Regression is a Machine Learning classification algorithm that is used to predict the probability of a categorical dependent variable. In logistic regression, the dependent variable is a binary - [Supervised Learning Questions - Part 4/4](https://thedatamonk.com/supervised-learning-questions/) - Supervised Learning Questions. This is the 4th part of the Supervised Learning Questions. Do go through the first 3 parts.Part 1-https://thedatamonk.com/supervised-learning-interview-questions/Part 2 - https://thedatamonk.com/supervised-learning-interview-question/Part 3- https://thedatamonk.com/supervised-learning-data-science-questions/ 1.We will try to build a basic KNN model with 5 neighbors. Write the code for the same. from sklearn.neighbors import KNeighborsClassifier classifier = KNeighborsClassifier(n_neighbors=5) classifier.fit(X, y) y_pred = - [Supervised Learning Interview Questions - Part 1/4](https://thedatamonk.com/supervised-learning-interview-questions/) - Supervised Learning Interview Questions.Below are some of the most asked and basic Supervised Learning Interview Questions. Do go through all the questionsPart 2-https://thedatamonk.com/supervised-learning-interview-question/Part 3- https://thedatamonk.com/supervised-learning-data-science-questions/Part 4-https://thedatamonk.com/supervised-learning-questions/ 1. What is Machine Learning ?a. Have you ever shopped online? while checking for a product, did you notice it recommends product similar to what you are looking for? - [Supervised Learning Interview Question - Part 2/4](https://thedatamonk.com/supervised-learning-interview-question/) - Supervised Learning Interview Question. This is the 2nd part of the series Supervised Learning Interview QuestionPart 1-https://thedatamonk.com/supervised-learning-interview-questions/Part 3- https://thedatamonk.com/supervised-learning-data-science-questions/Part 4-https://thedatamonk.com/supervised-learning-questions/ 1. Let’s create our dataset first. We will create Thyroid data set with attributes as Weight, Blood Sugar, and Sex(M=1,F=0) #Weight,Blood Sugar, and gender Male = 1, Female = 0 X = [[80, 150,0], [90, - [Puzzles and aptitude problem](https://thedatamonk.com/day-8-puzzles-and-aptitude-problem/) - Why add puzzles and logical problem in a Data Science course?Well, because you are supposed to solve problems of the same intensity on the floor.Well, because you need to chisel your logic every now and then.Well, because these are asked in the hiring interviews :PWell, because you can't run away from Mathematics in a domain - [SQL Basics to get you started](https://thedatamonk.com/day-10-sql-basics-to-get-you-started/) - SQL stands for Structured Query Language and it is used to pull relevant data from the database. We assume that you already know a bit about SQL, so we will try to cover the base and then will quickly jump to some questions.1. What all can we do with SQL?We can perform the following task:- - [SQL Tricky Questions](https://thedatamonk.com/day-11-sql-tricky-questions/) - You are already done with the basics of SQL on Day 10. No matter how good you are at it, there are some tricky questions which might confuse you in its trap. Below are some not so difficult but confusing questions. Try to solve it on your own before hoping on the solution.For the next - [SQL one table 30 questions](https://thedatamonk.com/day-12-sql-one-table-30-questions/) - SQL is your bread and butter. Let's take a table and try to answer few questions ranging from very basic to intermediate level.Emp Table - Employees at Olivers' Restro Pub EmpNoENameJobMGRHireDateSalCommDeptNo1234AmitWaiter838219-Oct-1850000500505678AshishAnalyst86352-Nov-186000020051 Dept Table DeptNoDnameLoc50ServiceDelhi51AccountMumbai a. Show all the data from emp tableSELECT * FROM emp;b. Show all the data from Dept tableSELECT * FROM dept;c. - [SQL Theoretical Questions](https://thedatamonk.com/day-13-sql-theoretical-questions/) - Following are the top 100 SQL Questions to clear your theoretical concepts. Few questions will be repeated from Day 10, 11, and 12. 1. What is a database?-A database is a collection of information in an organized form for faster and better access, storage and manipulation. It can also be defined as a collection of - [Basic Statistics](https://thedatamonk.com/day-14-basic-statistics/) - Data Science is 60% Mathematics and 40% coding and other things. Obviously, the numbers are random, but it makes complete sense. You need to defend your analysis with statistics.On a serious note, your honeymoon period is over. The statistics material will require more concentration and we will try to make sure that you understand each - [Tests in Statistics - Chi Square Test](https://thedatamonk.com/day-16-tests-in-statistics/) - Hypothesis testing is one of the most important topic in a Data Science course. Hypothesis tests evaluates two mutually exclusive statements about a population to decide which one is the best suited by the help of sample data.There are a lots of test in statistics and we will target the important tests which you might - [Statistics Interview Questions](https://thedatamonk.com/day-18-statistics-interview-questions/) - 1.What is a population and a sample? Population is the complete targeted group of people/objects on which the analysis needs to be performed. If the target is Mumbai population then the population will be the total number of people living in Mumbai.2. What is a sample? A sample is like a subset of the population. - [Python Basics](https://thedatamonk.com/day-21-python-basics/) - We know that you already know a lot about Python and it's capability in the Data Science domain. I have deliberately put screenshots so that you people have to type these commands to practice the syntax of Python :P To make sure everyone is on the same page, we will quickly go through the basics - [Python - Conditional Statements](https://thedatamonk.com/day-22-python-2-conditional-statements/) - One of the most important thing which you need to learn in Python is the use of conditional statement. These are small code snippets which will help you solve multiple problems in a project or any hackathon.Conditional statements help us to apply a particular constraint on the data set. Suppose you want to pull the - [Moonfrog Labs Data Science Interview Question](https://thedatamonk.com/moonfrog-labs-data-science-interview-question/) - Moonfrog Labs is a Bangalore based start-up that makes mobile-first games for masses. It was established in 2013 with a total funding of $16M. Location – BangaloreJob Title – Data Scientist Experience Required – 2-3 YearsNumber of Rounds – 4 This was one of those companies where the interview was to the point and statistics-heavy. Round - [Most Asked Supervised Learning Interview Questions](https://thedatamonk.com/most-asked-supervised-learning-interview-questions/) - Supervised Learning is one of the most important part of Data Science realm. It is the part of Data Science where you supervise or have the output for a given set of inputs and you have to create a model to learn from these input-output combinations using different features(columns/attributes). The final aim is to predict - [What is Data? Why Data Science?](https://thedatamonk.com/day-2-what-is-data-why-data-science/) - Before we start with Case Studies and Guesstimates, you need to know the difference between 4 terms which might look identical to you but are very different.Data -> Information -> Knowledge -> WisdomThis is called DIKW hierarchy, you can Google and learn a lot about this hierarchy, but since you are spending your precious time - [Visualization in Python](https://thedatamonk.com/visualization-in-python/) - Piyush was here, I was ready with my cup of tea. I always used to worry about visualizations. For me, most of the visualization work was done by either my Visualization tool or the master of all i.e. MS Excel. Needless to say that I was nervous, because I had tried working on this part - [Guesstimate](https://thedatamonk.com/day-6-guesstimate/) - Guesstimate is a methodological process of guess and estimate. Guesstimates have now become an important part of several Business Analyst/Data Scientist and MBA interview process.What does a person asking you questions as absurd as "How many people are wearing red today?" is looking for ?You know that he has no idea about the same but - [Practice Guesstimate](https://thedatamonk.com/day-7-practice-guesstimate/) - You already know that there are some 100 Million iPad being sold in India each year. But can you guess the area of an airport? Let's say I need to know the total area of the Bangalore airport.There are four important areas in an airport:-1. Parking space2. Sitting space3. Hangar space4. Runway Let's assume the - [Case Study 1](https://thedatamonk.com/day-3-case-study-1/) - Case Study is a way of judging your logic and analytical capabilities. I can not be more vague with the definition :PBasically, solving or discussing a case study problem helps in knowing the way a person thinks. There is no right or wrong answer in solving a case study. Let's take a simple example:-How will - [Case Study II](https://thedatamonk.com/day-5-case-study-iii/) - Company Name – Myntra Round – 2 (Case Study)Topic:- Suppose you have a restaurant and there is a crunch of sitting space, apart from that you have one kitchen door which is generally crowded with the waiters and food delivery guys which leads to delay in serving the food. Would you like to create room for one - [Case Study III](https://thedatamonk.com/day-4-case-study-ii/) - Company Name – SapientRound – 2 (Case Study)Topic – Recommendation of food items to new customer in a restaurant Punjabi By Nature, a restaurant in Bangalore, delivers and serves food to its customer. It has been in the business for the last 10 years. Recently the owner heard about Data Science and they want to leverage the opportunity - [SQL interview questions for Data Science and Business Analyst role](https://thedatamonk.com/tricky-sql-interview-questions/) - Before you start with the questions, make sure you have your basics clear. Look for explanation if you don't have enough context about some syntax or function. We have provided the table schema wherever required, in case the schema is not provided, please assume the table and column names. 1. How to find the third - [34 R Questions you must prepare before Data Science Interview](https://thedatamonk.com/30-r-questions-you-must-prepare-before-data-science-interview/) - What are the data structure in R which helps in statistical analysis and graphical representation? Ans.) The following are the data structure in R which are widely used:- a.) Array b.)Matrix c.)Vector d.) Data frame e.) List f.) Tables What is class() function in R? Ans.) This is a very important function in R which - [Affine Analytics Interview Questions | Day 17](https://thedatamonk.com/affine-analytics-interview-questions/) - Company - Affine AnalyticsLocation - BangalorePosition - Senior Business AnalystExperience - 3+ yearsCompensation - Best in the industry Affine Analytics Interview Questions Number of Rounds - 4I received a call from the Technical HR who scheduled the telephonic round for the next dayRound 1 - Telephonic Round (Mostly SQL and Project)I was asked to introduce - [Explain p-value in simple terms](https://thedatamonk.com/p-value-in-simple-terms/) - p-value in simple termsIf you are into Data Science, then you must have heard about p-value.I could have started it with a very superficial definition strolling around probability and significance and null hypothesis, etc. But that's already there on multiple blogs.Interview questions of Top Data Science questions - https://thedatamonk.com/data-science-resources/ How to make a career in - [Label Encoder and One Hot Encoding](https://thedatamonk.com/understanding-label-encoder-and-one-hot-encoding/) - In our datasets we can have any sort of data, we can have numbers, categories, texts, or literally anything. If you have ever created any model , you already know that you can't use Textual Data to train it. Label Encoder and One Hot Encoding are two most important ways to convert a textual categorical - [What is Stationarity in Time Series?](https://thedatamonk.com/why-does-the-time-series-need-to-be-stationary-for-analysis/) - Stationarity in Time SeriesThe first step for any time series analysis is to make the data set stationary. Everyone knows that stationarity means a near to constant mean and variance across time.Stationarity in Time Series The red line above shows an increasing trend and the blue line is the result of the de-trending series. De-trending - [Python Interview Questions - Updated 2022](https://thedatamonk.com/python-interview-questions/) - Today is Day 8 and we will be taking up 10 Python interview questions. The below python interview questions will mostly be around definitions, parameters, etc.You need to understand that in general there is a difference between Data Science and Software Developer interview.A Data Scientist is mostly asked on the implementation of algorithms and the - [Machine Learning Interview Questions - Updated 2022](https://thedatamonk.com/machine-learning-interview-questions/) - Today is Day 9 and we will try to solve the top 10 Machine Learning Interview questions. These questions will revolve around statistics and algorithms with a couple of questions Before we get started, do create your profile on the website. The ‘Login’ area is at your extreme left ? You can get previous days - [150+ SQL Data Science interview Questions](https://thedatamonk.com/sql-data-science-interview-questions/) - SQL Data Science interview QuestionsHere we have 150+ SQL interview questions which are asked in most of the Data Science and Data Analyst interviews.You can target to solve the questions first and then go through the solution of other top rated candidates.Make sure to create your profile so that we can refer you to other - [Big Basket Data Analyst Interview Questions - Updated 2022](https://thedatamonk.com/big-basket-data-analyst-interview-questions/) - Day 24 - Big Basket Data Analyst Interview QuestionsBig Basket is the largest online grocery store of India and in companies like BB, the work of a Data Analyst is very vital. Following Big Basket Data Analyst Interview Questions will help you in understanding their requirement :) We provide you with some of the similar - [BookMyShow Data Science Interview Question - Updated 2022](https://thedatamonk.com/bookmyshow-data-science-interview-question/) - Today is Day 24 and we will look into the interview process of Book My Show. The following BookMyShow Data Science Interview Question will help you understand the difficulty level of the interview.BookMyShow Data Science Interview Question Book My Show is one of the emerging companies in the field of entertainment. They are constantly looking - [Moonfrog Data Science Interview Questions | Day 34](https://thedatamonk.com/moonfrog-data-science-interview-questions/) - Day 34 - Moonfrog Data Science Interview QuestionsMoonfrog Labs is a Bangalore based start-up that makes mobile-first games for masses. It was established in 2013 with a total funding of $16M.Moonfrog concentrates a hell lot on Statistics and Machine Learning questions in the interviews. Do give it a shot in order to check your level of Data - [PhonePe Data Science Interview Questions | Day 47](https://thedatamonk.com/phonepe-data-science-interview-questions/) - PhonePe Data Science Interview QuestionsPhonePe is a digital payment company headquartered in Bangalore, India. PhonePe was founded in December 2015, by Sameer Nigam, Rahul Chari and Burzin Engineer. The PhonePe app went live in August 2016 and was the first payment app built on Unified Payments Interface.PhonePe Data Science Interview Questions Make sure to go - [Top 20 Pandas functions in Python](https://thedatamonk.com/top-20-pandas-functions-in-python/) - Top 20 Pandas functions in Python will help you understand the most used functions present in Pandas library. We have put everything in one place. Please comment any other function which you think we should include next time.Pandas is no doubt one of the most important library for any Analytics professional. In 8/10 cases your - [Daily Quiz - Updated 2022](https://thedatamonk.com/daily-data-science-quiz/) - This is the Daily Data Science Quiz to make a career in Data Science in 30 days. Each Day we cover 10 questions, you can signup to make your profile and then start answering. Following are the Daily Data Science Quiz questions Day 1 - https://thedatamonk.com/data-science-interview-question-day1/Day 2 - SQL - https://thedatamonk.com/sql-interview-questions/Day 3 - Joins - - [Accenture Business Analyst Interview Question | Day 22](https://thedatamonk.com/accenture-business-analyst-interview-question/) - Today is Day 22 and we will work on the complete Accenture Business Analyst Interview QuestionCompany Name - Accenture Location - Bangalore Position – Business Analyst Number of Rounds - 3 Round 1 – Technical Round(SQL and R) Round 2 – Guesstimate Round Round 3 – Project and HR Round Following are the Accenture Business - [Assumptions Of Linear Regression - Part 1](https://thedatamonk.com/assumptions-of-linear-regression/) - Here we will talk about the assumptions of Linear Regression which will let you understand LR and will help you tackle questions in your interview. I personally know a handful of candidates who have bosted themselves as a master of Linear Regression but have failed to answer basic questions(Read - Me :P) Read the complete - [Myntra Senior Business Analyst Interview Questions](https://thedatamonk.com/myntra-data-science-interview-questions/) - Company - MyntraYear - 2019Profile - Senior Business Analyst(3+ Years of Exp.)Rounds - 3 or 4 (depends on your technical round) Round 1 -Written SQL round - ~50 MCQ questions (Intermediate level)- Non-elimination round(unless you do as pathetic as 15/50)- Go through www.sqlzoo.net or follow www.thedatamonk.com-Some of the questions which I remember were on the - [Introduction to Data Science, How to start?](https://thedatamonk.com/day-9-introduction-to-data-science-how-to-start/) - We will keep posting Guesstimates, Case Studies, Puzzles, etc. But it's high time we should start with Data Science.On an overall level we can safely divide a Data Science job in the following buckets:-1. Statistics - This job has a lot to do with Maths, so we will put it as the top priority2. SQL - [Welcome to Python](https://thedatamonk.com/day-20-welcome-to-python/) - 5-6 years back Java was said to be ever lasting. Everyone wanted a Java developer in their team. Looking at the current scenario, we can safely assume that Python is and will be one of the most used Programming language across multiple domains ranging from software development to web development and Data Science.Talking particularly about - [100 Days Data Science Challenge](https://thedatamonk.com/100-days-data-science-challenge/) - Data Science comprises of innumerable topics. The aim of this 100 Days series is to get you started assuming that you have no prior knowledge of any of these topics. In this series we will try to keep everything using Python, less because of its robustness but more because the codes in Python are self ## Pages - [The Data Monk – Be Data Curious](https://thedatamonk.com/) - Join 10,000+ data professionals learning from The Data Monk.At The Data Monk, our main goal is to help prepare anyone who wants to make a career in the Analytics domain. We believe in making the preparation affordable and impactful, and that's why we don't have any hefty-cost courses. We try to make sure that you - [Privacy Policy](https://thedatamonk.com/privacy/) - Privacy Policy This privacy policy describes how we collect, use, and protect your personal information when you use our website and services. 1. Information We Collect We collect information that you provide directly to us, such as when you create an account, make a purchase, or contact us for support. 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Use License Permission is granted to temporarily download one copy of the materials - [The Data Monk - From Data Curious to Data Confident](https://thedatamonk.com/analytics-interview-preparation/) - E-books for Quick Preparation Complete 1:1 Mentorship Program Welcome to The Data Monk – Empowering Your Analytics Journey The Data Monk is dedicated to helping analytics professionals crack interviews and develop the skills needed to thrive in the data-driven world.Our team comprises 50+ Analytics Leaders (with 10+ years of experience) from leading companies like Mu - [The Data Monk](https://thedatamonk.com/the-data-monk-3/) - E-books for Quick Preparation Complete 1:1 Mentorship Program - [Contact Us](https://thedatamonk.com/contact-us-2/) - You can contact us through the following mediumE-mail id contact@thedatamonk.comrichashankar18@gmail.comnitinkamal132@gmail.com Phone Number - 9798049301 (Whatsapp Only) Operational Address - D-408, Majestic Residency, Tavarakere Main Road, BTM Layout, Bangalore - 560029 - [R Interview Questions - Updated 2022](https://thedatamonk.com/r-interview-questions/) - R interview QuestionsSet of answered and unanswered R interview Questions asked in Data Science interviews and analytics interviews.R is one of those languages which are extensively used in some of the analytics domain. It has definitely got a good community and some of the coolest packages. So, if you have mentioned R in your resume - [Shop](https://thedatamonk.com/shop/) - [SQL](https://thedatamonk.com/sql/) - In this section, you will have a lot of SQL questions. So, if you think you are good with SQL, then do try these to become even better.Promotion bhai :P112 Questions To Crack Business Analyst Interview Using SQLWrite better SQL queries + SQL interview QuestionsFor the next 7-8 questions, we will be referring to the below - [Pricing](https://thedatamonk.com/pricing/) - We have multiple products on the website and a brief about all of that is mentioned below:- Every e-book comes at a fixed price as mentioned on the website. We provide the e-books in PDF format and not in hard copyAll the e-books are the intellectual property of The Data Monk group and no one - [About Us](https://thedatamonk.com/about-us/) - Welcome to The Data Monk, your number one source for all things Analytics related questions and articles. We're dedicated to providing you the very best of Analytics and Data Science, with an emphasis on Data Analyst, Data Science, Business Analysis and Data Engineering Founded in 2016 by Nitin Kamal and Richa Shankar (alumni of Birla - [Terms and Conditions](https://thedatamonk.com/terms-and-conditions/) - Last updated: 2021-08-01 1. Introduction Welcome to The Data Monk (“Company”, “we”, “our”, “us”)! These Terms of Service (“Terms”, “Terms of Service”) govern your use of our website located at https://thedatamonk.com (together or individually “Service”) operated by The Data Monk. 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We do collect your personal information and process your personal data in accordance with the IT Act, 2000 - [Buy e-books](https://thedatamonk.com/buy-e-books/) - The Below section is for our free e-book distribution Giveaway Section Please fill this form for the e-book give away dated 8th August'21 We will be distributing 3 e-books in the next 3 weeks 110 Interview Questions to crack Power BI interview(Updated for 2021) - 8th August 300 Most asked Data Science Questions in SQL, - [How to prepare for Analytics interview?](https://thedatamonk.com/how-to-prepare-for-analytics-interview/) - This page is specifically for all your doubts like- What to study?- Resources for SQL, Python, ML algorithm- Recruiting process- Stuck in any other department and want to move out- Want to start with Data Science- Is XYZ course good?- What is the salary of ABC company?- How is the weather of Bangalore?- Where to - [Youtube Videos for Data Science Interviews](https://thedatamonk.com/youtube-videos-for-data-science-interviews/) - Youtube Videos for Data Science Interviews We have around 100 Videos explaining topics which are important for interview point of view. You can learn theory from our portal or your course book or from youtube. But, when it comes to prepare for Interview questions, then just go deeply through only a handful of important topics. - [Newsletter](https://thedatamonk.com/newsletter/) - [newsletter] - [MCQ Quiz](https://thedatamonk.com/mcq-quiz/) - We have started with a new section where we will post 5 Multiple Choice Questions per day.The topics which we will be covering are:--Python-R-SQL-Statistics-Machine LearningThese questions will be a mixture of both Interview and conceptual/tricky questions.Python MCQ - 1 | Daily Quiz 1Python MCQ - 2 | Daily Quiz 2You can also check other sections - [Daily Quiz](https://thedatamonk.com/daily-quiz/) - This is the Daily Data Science Quiz to make a career in Data Science in 30 days. Each Day we cover 10 questions, you can signup to make your profile and then start answering. Following are the Daily Data Science Quiz questions Daily Complete Quiz There are 5 questions every day from Python, Case Study, - [Interview](https://thedatamonk.com/analytics-interview-questions/) - Analytics interview questionsWe have a group of 30+ mentors who are working in various product based companies around the world in Analytics domain. We asked them a very simple question, 'What do you look for in a candidate before selecting him/her?' , it was nothing philosophical like 'We look for attitude, zeal, blah blah'Following is - [Testimonial](https://thedatamonk.com/the-data-monk/) - The Data MonkThis page is dedicated to our feedbacks. Comments we receive from various users and their opinion about the portal.We started the Q&A on The Data Monk in June,2020. Our aim was to provide study materials and interview questions to those who are facing difficulty in cracking an interview despite having a good amount - [Machine Learning](https://thedatamonk.com/most-asked-machine-learning-questions/) - Most asked Machine Learning QuestionsWhat is mostly asked in any Data Science interview?It's the Machine Learning Questions mixed with Statistics and how to make the model perform in real time.We have worked with 30+ industry experts from different product based companies to come up with these most asked Machine Learning Questions MACHINE LEARNING ANSWERED What - [SQL](https://thedatamonk.com/sql-interview-questions-for-analyst/) - SQL Interview Questions for AnalystWhat is the most important ingredient in a good Analyst?The ability to crunch numbers and by far SQL has been the most important weapon of any Analytics Professional. it's easy to use and understand. But, you can easily be surprised with the difficulty level and variety of questions asked in SQL - [Statistics](https://thedatamonk.com/statistics-data-science-interview-questions-/) - Statistics Data Science Interview QuestionsThese Statistics Data Science Interview Questions will help you answer most of the statistics related questions in an analytics interview. You just need to check if you understand the concept. Go through the answers from other users and you will understand the logic much more clearly ANSWERED Find the coefficient of - [Case Study](https://thedatamonk.com/case-study-for-data-science-interviews/) - Case Study for Data Science interviews is one of those areas which is mostly ignored but is of high importance. We need Analytics professionals in this world because they should talk to data and get insights to solve the business related problems. The analyst should understand the corresponding business and then act accordingly. To check - [Python](https://thedatamonk.com/python-questions-for-data-science-interviews/) - Topic - Python questions for data science interviewsPython is one of the most popular language in the Analytics domain. There are multiple ways in which you can learn this language to prepare for any analytics domain career. There are many courses which teaches Python questions for data science interviews.We have interviewed a lot of candidates - [Live Classes](https://thedatamonk.com/data-science-live-classes/) - Data Science live classesWe have completed three successful batches of both Super-20 and Super-10. We also have scheduled more than 100 mock interviews. Till now it was mostly on an invite basis, but now we are rolling-out the service to anyone who wish to understand the difference between preparing for an interview with theories and - [Top Articles](https://thedatamonk.com/data-science-resources/) - Here are the link to the Best Data Science resources which you need to clear all the doubts in order to crack a Data Science/Data Analyst/Business Analyst interview. Following are the Data Science resources The whole article is divided into three parts1. Link to all the important articles in SQL, Statistics, Machine Learning, Python, R - [Become a Data Scientist](https://thedatamonk.com/how-to-become-a-data-scientist/) - In this article, we will talk about the most asked question on our blog i.e. How to become a Data ScientistPeople have always been curious about how to make a career in data science or how to enter this domain after an experience of, say 3-4 years.Let's get started with - How to Become a - [Internship](https://thedatamonk.com/internship/) - We at The Data Monk are looking forward to hire Online interns for a period of one month. The interns will have to work on the following domains:-1. Content Creation2. Search Engine Optimization3. Digital MarketingThis internship will award you with:-1. A fixed compensation2. An online presence of your internship validation3. A copy of all our - [Home](https://thedatamonk.com/home-5/) - [Data Science Interview Questions | Day 1/30](https://thedatamonk.com/data-science-interview-questions-day-1-30/) - Hi,Let's start today and finish most of the questions in the next 30 days. Day 1 is an overview of the upcoming days. So this will have a glimpse of everythingDaily we will be sending you 6-7 questions with the proposed solution. The rest question will be your Homework i.e. you write an answer and - [How to use TDM?](https://thedatamonk.com/how-to-use-tdm/) - Hi,So recently we converted our blog to a Question and Answer platform. We will still be blogging like before, but we will also be catering to all the Data Science related questions. How to use The Data Monk There are now two parts of the website:- 1. Blog/Articles We have all the previous articles in - [Contact Us](https://thedatamonk.com/contact-us/) - contact@thedatamonk.com or connect me on Linkedin - [About Us](https://thedatamonk.com/about/) - The Data Monk Our Story The Data Monk is created to give you most of the “must-have” resources to make you believe that Analytics is easy and FUN. As an infinitesimally small blog, we try to cover the following topics:- 1. A Query Language – SQL 2. A Programming Language – Python 3. 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Abate - to decreaseAfter a 15 days of lockdown, the Corona virus cases suddenly abated, bringing smile and relief on everyone's faceB.S. - Ab'ate' - Since you ate something, it will decrease, right ? Right !! - [Case Studies](https://thedatamonk.com/case-studies/) - In general, there are two types of questions which are asked in an interview:-1. Business Case Study2. GuesstimateFirst of all, let me do the mandatory promotion of the e-books1. Case Studies and Guesstimates for Data Science (Recommended by the Readers)2. 100 Puzzles and Case Studies to Crack Data Science interviewLet's solve some Case Studies and - [Winter Internship 2019](https://thedatamonk.com/interview-questions/) - Be a part of The Data Monk, mail at contact@thedatamonk.com or ping at 9798049301 Winter Internship-2019 is on, meet our interns:-1. Misha Arora (TDM20191201)2. Dhruv Garg (TDM20191202) 3. 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Give it a shot, because there is no point in becoming a Data Scientist without knowing how to calculate IQR or in fact what is IQR? Statistics is a set of concepts, rules and procedures which help us in the study of data. - [Python/R](https://thedatamonk.com/python-r/) - You need to know at least one programming language. Python and R are the two languages which are used extensively in the Data Science domain.If you know R, then learn PythonIf you know Python, then learn moreIf you don't know either, then learn PythonIn short, "Python padh lo, bahut scope hai :P" Thora Promotion :P125 - [Interview Case Studies](https://thedatamonk.com/data-science-case-studies/) - Whenever you are interview for a Data Science/Business Analyst role, there is bound to have a roundwhere you will be provided with a case and you need to show your thought process. Basically, there are two types of case studies in an interview:- 1. Business case 2. Guess estimate case In a Business case study, you - [Guess Estimate](https://thedatamonk.com/guess-estimate/) - Guesstimates are a lot of fun !! Guess estimate has become an important part of almost all the interviews related to Business Analysts or Data Scientists. 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Our exclusive Personalized Mentorship Program is designed to equip you with the skills, confidence, and resources needed to crack your dream job. Here’s everything you’ll receive in this one-month intensive - [Ace The SQL Interview | 200+ Most Asked SQL Questions in Top Product Based Companies](https://thedatamonk.com/product/200-most-asked-sql-questions/) - Ace The SQL Interview | 200 Most Asked SQL Questions in Top Product Based Companies To get the glimpse of types of questions that are solved in the book, you can visit our Ace The SQL Interview blog Following are the topics and number of questions completely solved in the book: Topic - [550 SQL Interview Questions to crack Any Analytics interview](https://thedatamonk.com/product/550-sql-interview-questions-to-crack-any-analytics-interview/) - 550 SQL Interview Questions to crack Any Analytics Interview Data analyst/Business Analyst/Business intelligence Engineer is one of the Analytics jobs that has a huge job potential. You can apply to any product or service-based company. CTC offered for Analytics Role – 12 to 20 LPA for Level 1 (0 to 4 YOE) 20 to 35 - [2200 Most Asked Analytics Interview Questions](https://thedatamonk.com/product/most-asked-analytics-interview-questions/) - 2200 Most Asked Analytics Interview Questions This is going to be your one book that will be in your downloads folder for a long long time. Even if you are in 2nd year of college to 8 years of analytics or non-analytics experience, this book will help you crack analytics interviews in Product based companies. - [The Data Monk 23 e-book bundle](https://thedatamonk.com/product/the-data-monk-e-book-bundle/) - The Data Monk e-book bundle Here is a mega e-book bundle to prepare for any analytics interview. In the below set of e-books, you will get all the study material that you need to learn to crack an analytics interview. We have books on all the important algorithms, SQL, python, statistics and case studies. The price on amazon for each of the 23 books is in the range of Rs.300 which roughly is around Rs.7000. But, our target audience is students which are in their 3rd or 4th year or people with less experience, so we have kept it to a very affordable price. 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