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 ...
Continue readingDaily Quiz to Crack Data Science Interview | Day 1
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 ...
Continue readingInstalling 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 ...
Continue readingRange() in Python | Python for Data Science | Day 16
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 ...
Continue readingType() and isinstance() in Python | Python for Data Science | Day 15
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 ...
Continue readingMap() in Python | Python for Data Science | Day 13
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 ...
Continue readingEnumerate() in Python | Python for Data Science | Day 12
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() ...
Continue readingSplitting data set in Python | Python for Data Science | Day 11
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 ...
Continue readingAbs() and Round() in Python | Python for Data Science |Day 10
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 ...
Continue readingFunctions in Python | Python for Data Science | Day 9
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 ...
Continue readingLists in Python | Python for Data Science | Day 8
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 ...
Continue readingBreak, Continue and Pass in Python | Python for Data Science | Day 7
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 ...
Continue readingPalindrome in Python | Python for Data Science | Day 6
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 ...
Continue readingFor Loop in Python | Python for Data Science | Day 5
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 ...
Continue readingDictionary in Python | Python for Data Science | Day 4
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 ...
Continue readingTuple in Python | Python for Data Science | Day 3
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 ...
Continue readingHello World | Python for Data Science | Day 2
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 ...
Continue readingInstall Python | Python for Data Science | Day 1
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 ...
Continue readingBest 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 ...
Continue readingRegression 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 ...
Continue readingData Science Model with high accuracy in training dataset but low in testing dataset
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
Continue readingMissing Value Treatment by mean, mode, median, and KNN Imputation | Day 5
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 ...
Continue readingGuesstimate – Annual income of a beggar in Bangalore
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 ...
Continue readingOrder 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 ...
Continue readingExplain 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 ...
Continue readingP-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 ...
Continue readingTop 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
Continue readingData 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 ...
Continue readingHow 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 ...
Continue readingImport and Export into Googlesheet and AWS using 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 ...
Continue readingAnalytics 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 ...
Continue readingSnapdeal Data Science Interview: Most Asked Questions and Expert Tips
We know that each domain requires a different type of preparation, so we have divided our books in the same way:Our best seller:✅ Become a Full Stack Analytics Professional with The Data Monk's master e-book with 2200+ interview questions ...
Continue readingJio Data Science Interview: Most Asked Questions and Expert Tips
We know that each domain requires a different type of preparation, so we have divided our books in the same way: Our best seller:✅Become a Full Stack Analytics Professional with The Data Monk’s ...
Continue readingE-bay Data Science Interview: Most Asked Questions and Expert Tips
We know that each domain requires a different type of preparation, so we have divided our books in the same way: Our best seller:✅Become a Full Stack Analytics Professional with The Data Monk’s master e-book with 2200+ ...
Continue readingDunzo Data Science Interview: Most Asked Questions and Expert Tips
We know that each domain requires a different type of preparation, so we have divided our books in the same way: Our best seller:✅Become a Full Stack Analytics Professional with The Data Monk’s master e-book with 2200+ ...
Continue readingPhonePe Data Science Interview Questions | Day 47
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 ...
Continue readingHow to solve data science Hackathon – PIMA Diabetes
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 ...
Continue readingNvidia Data Science Interview: Most Asked Questions and Expert Tips
We know that each domain requires a different type of preparation, so we have divided our books in the same way: Our best seller:✅Become a Full Stack Analytics Professional with The Data Monk’s master e-book with 2200+ ...
Continue readingCRED Data Science Interview : Most Asked Questions and Expert Tips
We know that each domain requires a different type of preparation, so we have divided our books in the same way: Our best seller:✅Become a Full Stack Analytics Professional with The Data Monk’s master e-book with 2200+ ...
Continue readingMastercard Data Science Interview: Most Asked Questions and Expert Tips
We know that each domain requires a different type of preparation, so we have divided our books in the same way: Our best seller:✅Become a Full Stack Analytics Professional with The Data Monk’s master e-book with 2200+ ...
Continue readingBCG Data Analyst Interview: Most Asked Questions and Expert Tips
Day 43 - BCG Data Analyst Interview Questions We know that each domain requires a different type of preparation, so we have divided our books in the same way: Our best seller:✅Become ...
Continue readingNULL functions in SQL | Day 42
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 ...
Continue readingWalmart Labs Data Analyst: Most Asked Questions and Expert Tips
We know that each domain requires a different type of preparation, so we have divided our books in the same way: Our best seller:✅Become a Full Stack Analytics Professional with The Data Monk’s master e-book with 2200+ ...
Continue readingAmerican Express Data Analyst: Most Asked Questions and Expert Tips
We know that each domain requires a different type of preparation, so we have divided our books in the same way: Our best seller:✅Become a Full Stack Analytics Professional with The Data Monk’s master e-book with 2200+ ...
Continue readingSQL Most Asked Interview Questions
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
Continue readingR Data Science Interview Questions | Day 39
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 ...
Continue readingStatistics Data Science Interview Questions | Day 38
Day 38 - Statistics Data Science Interview QuestionsWe will look after at 100+ most asked Statistics Data Science Interview Questions
Continue readingBarclays Data Analyst Interview: Most Asked Questions and Expert Tips
We know that each domain requires a different type of preparation, so we have divided our books in the same way: Our best seller:✅Become a Full Stack Analytics Professional with The Data Monk’s master e-book with 2200+ ...
Continue readingLowe’s Data Science Interview: Most Asked Questions and Expert Tips
We know that each domain requires a different type of preparation, so we have divided our books in the same way: Our best seller:✅Become a Full Stack Analytics Professional with The Data Monk’s master e-book with 2200+ ...
Continue readingFactspan interview questions: Most Asked Questions and Expert Tips
Company: FactspanDesignation: Data Scientist / Data AnalystYear of Experience Required: 0 to 4 yearsTechnical Expertise: SQL, Python/R, Statistics, Machine Learning, Case StudiesSalary Range: 12 LPA - 25 LPA Factspan is a pure-play analytics company that ...
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