E-bay Data Science Interview Question | Day 49

E-bay Data Science Interview Question
eBay Inc. is an American multinational e-commerce corporation based in San Jose, California, that facilitates consumer-to-consumer and business-to-consumer sales through its website. eBay was founded by Pierre Omidyar in 1995, and became a notable success story of the dot-com bubble.
E-bay Data Science Interview Question

E-bay Data Science Interview Question

Here are some of the eBay Data Science Interview Questions for your reference.

Round details are below

Round 1 – Telephonic Conversation
Round 2 – Walk-in/Face to Face
Round 3 – Project Analysis
Round 4 – Case Studies
Round 5 – Hiring Manager Round

Difficulty of Questions

SQL – 9/10 – Solve the following 150 most asked SQL questions
R/Python – 7/10 Practice ~100 plus question
Statistics/ML – High on Statistics – Practice here
Case Study – Basic, you can practice a lot of case studies and other statistics topics here –
https://thedatamonk.com/data-science-resources/

Cards

Linear Regression

Long-Tailed Distribution

Transactions

Nonparametric Test

Data Science

Missing Value Treatment

Normal Distribution

Users Also Bought

Male Employee

Try to solve these questions, other members will evaluate your answer and provide sufficient support.


Dunzohttps://thedatamonk.com/dunzo-data-science-interview-question/
Walmart Labs-https://thedatamonk.com/walmart-data-analyst-questions/
American Express-https://thedatamonk.com/american-express-data-analyst-questions/
Barclays- https://thedatamonk.com/barclays-data-analyst-interview-questions/
Lowes-https://thedatamonk.com/lowes-data-science-interview-questions/
Factspan-https://thedatamonk.com/factspan-interview-questions/
Oracle- https://thedatamonk.com/oracle-data-analyst-interview-questions/
SAP-https://thedatamonk.com/sap-data-science-interview-questions/
Big Basket-https://thedatamonk.com/big-basket-data-analyst-interview-questions/
Swiggy –https://thedatamonk.com/swiggy-data-analyst-interview-questions/
Accenture –https://thedatamonk.com/accenture-business-analyst-interview-question/
Deloitte –https://thedatamonk.com/deloitte-data-scientist-interview-questions/
Amazon –https://thedatamonk.com/amazon-data-science-interview-questions/
Myntra –https://thedatamonk.com/myntra-data-science-interview-questions-2/
Flipkart –https://thedatamonk.com/flipkart-business-analyst-interview-questions/

If you want any guidance or want to make a career in Data Science, then you can take a look on our proposed Data science path

Connect with us on Linkedin for latest updates and Data Science e-books giveaways- Nitin Kamal (Co-Founder, The Data Monk)

Our Linkedin Page for latest updates and giveaways- https://www.linkedin.com/company/14573769

Keep Learning!

Dhruv Garg

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 packs and services that we are providing as of now

  1. YouTube channel covering all the interview-related important topics in SQL, Python, MS Excel, Machine Learning Algorithm, Statistics, and Direct Interview Questions
    Link – The Data Monk Youtube Channel
  2. Website – ~2000 completed solved Interview questions in SQL, Python, ML, and Case Study
    Link – The Data Monk website
  3. E-book shop – We have 70+ e-books available on our website and 3 bundles covering 2000+ solved interview questions. Do check it out
    Link – The Data E-shop Page
  4. Instagram Page – It covers only Most asked Questions and concepts (100+ posts). We have 100+ most asked interview topics explained in simple terms
    Link – The Data Monk Instagram page
  5. Mock Interviews/Career Guidance/Mentorship/Resume Making
    Book a slot on Top Mate

The Data Monk e-books

We know that each domain requires a different type of preparation, so we have divided our books in the same way:

1. 2200 Interview Questions to become Full Stack Analytics Professional – 2200 Most Asked Interview Questions
2.Data Scientist and Machine Learning Engineer -> 23 e-books covering all the ML Algorithms Interview Questions
3. 30 Days Analytics Course – Most Asked Interview Questions from 30 crucial topics

You can check out all the other e-books on our e-shop page – Do not miss it


For any information related to courses or e-books, please send an email to nitinkamal132@gmail.com

Dunzo Data Science Interview Question | Day 48

Dunzo Data Science Interview Question
Dunzo is an Indian company that provides delivery services in Bengaluru, Delhi, Gurugram, Pune, Chennai, Jaipur, Mumbai and Hyderabad. The company also operates a Bike Taxi service in Gurugram. It is headquartered in Bengaluru, India. In 2017, it was funded by Google.
Dunzo Data Science Interview Question

Dunzo Data Science Interview Question

Make sure to read the following Dunzo Data Science Interview Question.

Round details are below

Round 1 – Telephonic Conversation
Round 2 – Walk-in/Face to Face
Round 3 – Project Analysis
Round 4 – Case Studies
Round 5 – Hiring Manager Round

Difficulty of Questions

SQL – 9/10 – Solve the following 150 most asked SQL questions
R/Python – 7/10 Practice ~100 plus question
Statistics/ML – High on Statistics – Practice here
Case Study – Basic, you can practice a lot of case studies and other statistics topics here –
https://thedatamonk.com/data-science-resources/

Better Model

Data Handling

Web Crawler

Regularisations

Roulette

Data Cleaning

Optimise Delivery

Random Variable

Improve Model

Standard Deviation

Try to solve these questions, other members will evaluate your answer and provide sufficient support.

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 packs and services that we are providing as of now

  1. YouTube channel covering all the interview-related important topics in SQL, Python, MS Excel, Machine Learning Algorithm, Statistics, and Direct Interview Questions
    Link – The Data Monk Youtube Channel
  2. Website – ~2000 completed solved Interview questions in SQL, Python, ML, and Case Study
    Link – The Data Monk website
  3. E-book shop – We have 70+ e-books available on our website and 3 bundles covering 2000+ solved interview questions. Do check it out
    Link – The Data E-shop Page
  4. Instagram Page – It covers only Most asked Questions and concepts (100+ posts). We have 100+ most asked interview topics explained in simple terms
    Link – The Data Monk Instagram page
  5. Mock Interviews/Career Guidance/Mentorship/Resume Making
    Book a slot on Top Mate

The Data Monk e-books

We know that each domain requires a different type of preparation, so we have divided our books in the same way:

1. 2200 Interview Questions to become Full Stack Analytics Professional – 2200 Most Asked Interview Questions
2.Data Scientist and Machine Learning Engineer -> 23 e-books covering all the ML Algorithms Interview Questions
3. 30 Days Analytics Course – Most Asked Interview Questions from 30 crucial topics

You can check out all the other e-books on our e-shop page – Do not miss it


For any information related to courses or e-books, please send an email to nitinkamal132@gmail.com

Walmart Labs- https://thedatamonk.com/walmart-data-analyst-questions/
American Express- https://thedatamonk.com/american-express-data-analyst-questions/
Barclays- https://thedatamonk.com/barclays-data-analyst-interview-questions/
Lowes- https://thedatamonk.com/lowes-data-science-interview-questions/
Factspan- https://thedatamonk.com/factspan-interview-questions/
Oracle- https://thedatamonk.com/oracle-data-analyst-interview-questions/
SAP- https://thedatamonk.com/sap-data-science-interview-questions/
Big Basket- https://thedatamonk.com/big-basket-data-analyst-interview-questions/
Swiggy – https://thedatamonk.com/swiggy-data-analyst-interview-questions/
Accenture – https://thedatamonk.com/accenture-business-analyst-interview-question/
Deloitte – https://thedatamonk.com/deloitte-data-scientist-interview-questions/
Amazon – https://thedatamonk.com/amazon-data-science-interview-questions/
Myntra – https://thedatamonk.com/myntra-data-science-interview-questions-2/
Flipkart – https://thedatamonk.com/flipkart-business-analyst-interview-questions/

If you want any guidance or want to make a career in Data Science, then you can take a look on our proposed Data science path

Connect with us on Linkedin for latest updates and Data Science e-books giveaways- Nitin Kamal (Co-Founder, The Data Monk)

Our Linkedin Page for latest updates and giveaways- https://www.linkedin.com/company/14573769

Keep Learning!

Dhruv Garg

PhonePe Data Science Interview Questions | Day 47

PhonePe Data Science Interview Questions
PhonePe 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

PhonePe Data Science Interview Questions

Make sure to go through these PhonePe Data Science Interview Questions.

Round details are below

Round 1 – Telephonic Conversation
Round 2 – Walk-in/Face to Face
Round 3 – Project Analysis
Round 4 – Case Studies
Round 5 – Hiring Manager Round

Difficulty of Questions

SQL – 9/10 – Solve the following 150 most asked SQL questions
R/Python – 7/10 Practice ~100 plus question
Statistics/ML – High on Statistics – Practice here
Case Study – Basic, you can practice a lot of case studies and other statistics topics here –
https://thedatamonk.com/data-science-resources/

Probability

Kernel Functions

Cases

Overfitting

Series

Curse of Dimensionality

Decision Tree

Model

Data Splitting

Model Validation

The Data Monk e-books

Tired of online courses costing 2 to 8 lakh and taking more than a year to complete?
Tired of going through 500+ hours of videos at a super slow pace?
We at The Data Monk believe that you have to start and complete things as quickly as possible. We believe in a target-based study where we break a topic into 100 questions and make sure that if you cover these questions you will surely be able to crack the interview questions. Rest all theory and practical can ONLY be learned while working in an organization.


Pick any of our books from our e-shop page and complete it in 6-8 hours, learn the 100 questions and write it in your resume. We guarantee you that you will nail 8 out of 10 interviews

We also have 3 bundles at a price that is affordable to everyone. We are a group of people placed in best of the product-based companies and we take 100+ interviews per week. Do we know what is being asked and what is not? So, just grab any of the following book bundles and give not more than 30 days to LEARN all the questions. We guarantee you that you will become a very strong candidate in any analytics interview

Set A – [3rd/4th year/ and 0 to 3 years of experience]

Crack any analytics or data science interview with our 1400+ interview questions which focus on multiple domains i.e. SQL, R, Python, Machine Learning, Statistics, and Visualization. – https://thedatamonk.com/product/books-to-crack-analytics-interview/

Set B – [0-5 Years of Experience]

1200+ Interview Questions on all the important Machine Learning algorithms (including complete Python code) Ada Boost, CNN, ANN, Forecasting (ARIMA, SARIMA, ARIMAX), Clustering, LSTM, SVM, Linear Regression, Logistic Regression, Sentiment Analysis, NLP, K-Mean – https://thedatamonk.com/product/machine-learning-interview-questions/

Set C – [0-7 Years of Experience]

2000+ interview questions that include 100 questions each on 12 most asked Machine Learning Algorithms, Python, Numpy and Pandas – 300 Interview Questions, Pandas,PCA,AWS,Data Preprocessing,Case Studies, and many more
https://thedatamonk.com/product/the-data-monk-e-book-bundle/

Note – Set C contains all the questions of Set B


Youtube Channel – The Data Monk

Unlike any other youtube channel, we do not teach basic stuff, we teach only topics that are asked in interviews. If the interviewer asks about p-value, we will have a video on that topic,
If the interviewer is interested in asking the sequence of execution of SQL commands then we will give you an overview of all the commands but stress so much on the question that can answer it comfortably in the interview. We definitely recommend you to follow our youtube channel for any topic that you are interested in or weak at
.

If you wish to get all the study material and topics to cover for an interview at one place, then you can subscribe to our channel. We have covered the complete syllabus of
Get all the youtube videos playlist on our youtube Channel – The Data Monk

Code in Python for Data Science – Understand one algorithm at a time in 30 minutes (theory and python code)
Company-wise Data Science Interview Questions – 15 videos on how to crack analytics interview
Complete Numpy Tutorial – 14 videos on all the functions and questions on Numpy
Complete Python Pandas Tutorial – 15 videos to completely cover Pandas
SQL Complete Playlist – 20 highly recommended videos to cover all the interview questions
Case Study and Guesstimates Complete Playlist –  Real-life interview case study asked in 2021
Statistics– 10 videos to completely cover Statistics for interviews


Lastly,
If you are in dire need of any help, be it book-wise or guidance-wise, then you can definitely connect with me on Linkedin. We will try to help as much as possible

How to solve data science Hackathon – PIMA Diabetes

How to solve data science Hackathon

We 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 start with any problem, but I have personally seen people starting with a problem and never actually reaching the solution part. So, we suggest you to follow the paths of those who have created such models.

If you are still unsure about how to make a career in Data Science, then this is your Data Science Career Path

You can also go through our Titanice Kaggle Solution

The below post is contributed by Disha Gupta

How to solve data science Hackathon


Problem statement: Create a machine learning model to predict that the person has diabetes or not.

Context: The dataset is originally from the National Institute of Diabetes and Digestive and Kidney Diseases. The objective of the dataset is to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset.

Content: The dataset consists of several features like number of pregnancies, BMI, Age, Blood Pressure, Insulin level, Glucose level, Diabetes Pedigree Function and the target variable the outcome i.e. is the person suffering from diabetes (1) or not (0).

Lets first understand what every feature in the dataset mean.

  • Pregnancies: It gives the number of times the female was pregnant
  • Glucose: Plasma glucose concentration 2 hours in an oral glucose tolerance test
  • Blood Pressure (mm Hg): Diastolic blood pressure indicates how much pressure your blood is exerting against your artery walls while the heart is resting between beats.
  • Skin Thickness: Triceps skin fold thickness (mm)
  • Insulin Level: 2-Hour serum insulin (mu U/ml)
  • Diabetes Pedigree Function: The likelihood of a person being diabetic depending on the family history

Dataset link: https://www.kaggle.com/uciml/pima-indians-diabetes-database

Let’s start with the model building. Here, I have used RandomForest algorithm of Machine Learning using Python.

Random forest, consists of a large number of individual decision trees that operate as an ensemble . Each individual tree in the random forest spits out a class prediction and the class with the most votes becomes our model’s prediction.

We will start with importing the libraries required. So, here pandas, numpy, seaborn and matplotlib.pyplot are imported

data = pd.read_csv("./diabetes.csv")

Here, we’ll read the our data which is in csv form using pandas

data.shape

shape function helps us find number of rows and columns in the dataset. In this dataset, there are 768 rows and 9 columns

head(5) function lets us print first 5 entries in the dataset. Here, first 5 entries are printed, in which the number of people having diabetes(outcome = 1) is 3.

This line of code lets us find the number of nulls in the dataset. False as an o/p depicts that there are no nulls or Nan in the dataset

Its important to find the correlation between the features in the dataset, for finding correlation, I used corr() function, and plotting it in a heatmap gives me the result in the form of visualization. If in case, I don’t want to use any visualization, I can just use the below line of code to find the relationship between the features in the dataset.

Now I want to find the number of people/females who are diabetic and who are not diabetic, I’ll create true_count and false_count or any variable to get the count of data. So, in this dataset, 268 females are diagnosed with diabetes while 500 aren’t.

From scikit learn’s model selection, we will import train_test_split , to split the dataset into training set and test set. Here, I have separated feature columns and target column. The test size will be 30% of the entire dataset.

The above lines of code, is for checking all the values those are 0 in the feature columns. The below lines of code are for replacing the 0’s by the mean value using Imputer from scikit learn’s preprocessing module.

Now, lets create the ML model. I have used RandomForest algorithm which is a type of classification model. RandomForestClassifier is to be imported from ensemble module of scikit learn.

Classifier is the object created to fit the algorithm. classifier.fit will use X_train and Y_train to train the model.

After I create a model, I need to find how accurate it is in predicting the values of y or outcome. So, by using accuracy_score from metrics module of scikit learn, I’ll find the accuracy. Here the accuracy is 72.72%, which is not a bad result. But for improving accuracy, hyper parameters can used.

This was one simple approach to handle a Hackathon problem, but the secret behind high accuracy will always be feature engineering.

You can use this article as a way to understand how to start with sample data and solve Hackathons.

P.S. – There a multiple things which you can add in a problem statement to boost your accuracy but this article is not meant to solve that problem. It’s only meant to help you create your first submission to a Data Science Hackathon

The Data Monk Interview Books – Don’t Miss

Now we are also available on our website where you can directly download the PDF of the topic you are interested in. At Amazon, each book costs ~299, on our website we have put it at a 60-80% discount. There are ~4000 solved interview questions prepared for you.

10 e-book bundle with 1400 interview questions spread across SQL, Python, Statistics, Case Studies, and Machine Learning Algorithms – Ideal for 0-3 years experienced candidates

23 E-book with ~2000 interview questions spread across AWS, SQL, Python, 10+ ML algorithms, MS Excel, and Case Studies – Complete Package for someone between 0 to 8 years of experience (The above 10 e-book bundle has a completely different set of e-books)

12 E-books for 12 Machine Learning algorithms with 1000+ interview questions – For those candidates who want to include any Machine Learning Algorithm in their resume and to learn/revise the important concepts. These 12 e-books are a part of the 23 e-book package

Individual 50+ e-books on separate topics

Important Resources to crack interviews (Mostly Free)

There are a few things which might be very useful for your preparation

The Data Monk Youtube channel – Here you will get only those videos that are asked in interviews for Data Analysts, Data Scientists, Machine Learning Engineers, Business Intelligence Engineers, Analytics managers, etc.
Go through the watchlist which makes you uncomfortable:-

All the list of 200 videos
Complete Python Playlist for Data Science
Company-wise Data Science Interview Questions – Must Watch
All important Machine Learning Algorithm with code in Python
Complete Python Numpy Playlist
Complete Python Pandas Playlist
SQL Complete Playlist
Case Study and Guesstimates Complete Playlist
Complete Playlist of Statistics

Nvidia Data Science Interview Questions | Day 46

Day 46 – Nvidia Data Science Interview Questions
Nvidia Corporation is an American multinational technology company incorporated in Delaware and based in Santa Clara, California. It designs graphics processing units for the gaming and professional markets, as well as system on a chip unit for the mobile computing and automotive market.
Nvidia Data Science Interview Questions

Nvidia Data Science Interview Questions

Let us now have a look at some of the Nvidia Data Science Interview Questions.

Round details are below

Round 1 – Telephonic Conversation
Round 2 – Walk-in/Face to Face
Round 3 – Project Analysis
Round 4 – Case Studies
Round 5 – Hiring Manager Round

Difficulty of Questions

SQL – 8/10 (Try to solve more interview questions from this website)
R/Python – 7/10 (Revise the basics of data structure, loop, casting, import export)
Statistics/ML – If there is a ML project on your resume then you can expect a good round on ML
Case Study – Basic, you can practice a lot of case studies and other statistics topics here –
https://thedatamonk.com/data-science-resources/

Same Marble

 R²

Combination

SVM

Naive Bayes Classifier

Seasonality

Metrics

Different Means

Sum of Dice

Ridge Regression

The Data Monk e-books

Tired of online courses costing 2 to 8 lakh and taking more than a year to complete?
Tired of going through 500+ hours of videos at a super slow pace?
We at The Data Monk believe that you have to start and complete things as quickly as possible. We believe in a target-based study where we break a topic into 100 questions and make sure that if you cover these questions you will surely be able to crack the interview questions. Rest all theory and practical can ONLY be learned while working in an organization.


Pick any of our books from our e-shop page and complete it in 6-8 hours, learn the 100 questions and write it in your resume. We guarantee you that you will nail 8 out of 10 interviews

We also have 3 bundles at a price that is affordable to everyone. We are a group of people placed in best of the product-based companies and we take 100+ interviews per week. Do we know what is being asked and what is not? So, just grab any of the following book bundles and give not more than 30 days to LEARN all the questions. We guarantee you that you will become a very strong candidate in any analytics interview

Set A – [3rd/4th year/ and 0 to 3 years of experience]

Crack any analytics or data science interview with our 1400+ interview questions which focus on multiple domains i.e. SQL, R, Python, Machine Learning, Statistics, and Visualization. – https://thedatamonk.com/product/books-to-crack-analytics-interview/

Set B – [0-5 Years of Experience]

1200+ Interview Questions on all the important Machine Learning algorithms (including complete Python code) Ada Boost, CNN, ANN, Forecasting (ARIMA, SARIMA, ARIMAX), Clustering, LSTM, SVM, Linear Regression, Logistic Regression, Sentiment Analysis, NLP, K-Mean – https://thedatamonk.com/product/machine-learning-interview-questions/

Set C – [0-7 Years of Experience]

2000+ interview questions that include 100 questions each on 12 most asked Machine Learning Algorithms, Python, Numpy and Pandas – 300 Interview Questions, Pandas,PCA,AWS,Data Preprocessing,Case Studies, and many more
https://thedatamonk.com/product/the-data-monk-e-book-bundle/

Note – Set C contains all the questions of Set B


Youtube Channel – The Data Monk

Unlike any other youtube channel, we do not teach basic stuff, we teach only topics that are asked in interviews. If the interviewer asks about p-value, we will have a video on that topic,
If the interviewer is interested in asking the sequence of execution of SQL commands then we will give you an overview of all the commands but stress so much on the question that can answer it comfortably in the interview. We definitely recommend you to follow our youtube channel for any topic that you are interested in or weak at
.

If you wish to get all the study material and topics to cover for an interview at one place, then you can subscribe to our channel. We have covered the complete syllabus of
Get all the youtube videos playlist on our youtube Channel – The Data Monk

Code in Python for Data Science – Understand one algorithm at a time in 30 minutes (theory and python code)
Company-wise Data Science Interview Questions – 15 videos on how to crack analytics interview
Complete Numpy Tutorial – 14 videos on all the functions and questions on Numpy
Complete Python Pandas Tutorial – 15 videos to completely cover Pandas
SQL Complete Playlist – 20 highly recommended videos to cover all the interview questions
Case Study and Guesstimates Complete Playlist –  Real-life interview case study asked in 2021
Statistics– 10 videos to completely cover Statistics for interviews


Lastly,
If you are in dire need of any help, be it book-wise or guidance-wise, then you can definitely connect with me on Linkedin. We will try to help as much as possible

CRED Data Science Interview Questions | Day 45

Day 45 – CRED Data Science Interview Questions
CRED is a members-only club that rewards individuals for their timely credit card bill payments by providing them with exclusive offers and access to premium experiences. It is a platform that allows credit card users to manage multiple cards along with an analysis of their credit score. Members with a high Experian or CRIF score are eligible for exclusive rewards upon payment of their credit card bills through the app.
CRED Data Science Interview Questions

Kindly go through these Cred Data Science Interview Questions for a better understanding of the concepts.

Before moving ahead, do make your profile on our website to attempt all the questions and to get it evaluated

Cred Data Science Interview Questions

Round details are below

Round 1 – Telephonic Conversation
Round 2 – Walk-in/Face to Face
Round 3 – Project Analysis
Round 4 – Case Studies
Round 5 – Hiring Manager Round

Difficulty of Questions

SQL – 9/10 – Solve the following 150 most asked SQL questions
R/Python – 7/10 Practice ~100 plus question
Statistics/ML – High on Statistics – Practice here
Case Study – Basic, you can practice a lot of case studies and other statistics topics here –
https://thedatamonk.com/data-science-resources/

Consecutive Numbers

Independent Variable

Statistics

Improve Performance

Relation

Coin Flip

Duplicate Records

Table Drop

Input

Time

The Data Monk e-books

Tired of online courses costing 2 to 8 lakh and taking more than a year to complete?
Tired of going through 500+ hours of videos at a super slow pace?
We at The Data Monk believe that you have to start and complete things as quickly as possible. We believe in a target-based study where we break a topic into 100 questions and make sure that if you cover these questions you will surely be able to crack the interview questions. Rest all theory and practical can ONLY be learned while working in an organization.


Pick any of our books from our e-shop page and complete it in 6-8 hours, learn the 100 questions and write it in your resume. We guarantee you that you will nail 8 out of 10 interviews

We also have 3 bundles at a price that is affordable to everyone. We are a group of people placed in best of the product-based companies and we take 100+ interviews per week. Do we know what is being asked and what is not? So, just grab any of the following book bundles and give not more than 30 days to LEARN all the questions. We guarantee you that you will become a very strong candidate in any analytics interview

Set A – [3rd/4th year/ and 0 to 3 years of experience]

Crack any analytics or data science interview with our 1400+ interview questions which focus on multiple domains i.e. SQL, R, Python, Machine Learning, Statistics, and Visualization. – https://thedatamonk.com/product/books-to-crack-analytics-interview/

Set B – [0-5 Years of Experience]

1200+ Interview Questions on all the important Machine Learning algorithms (including complete Python code) Ada Boost, CNN, ANN, Forecasting (ARIMA, SARIMA, ARIMAX), Clustering, LSTM, SVM, Linear Regression, Logistic Regression, Sentiment Analysis, NLP, K-Mean – https://thedatamonk.com/product/machine-learning-interview-questions/

Set C – [0-7 Years of Experience]

2000+ interview questions that include 100 questions each on 12 most asked Machine Learning Algorithms, Python, Numpy and Pandas – 300 Interview Questions, Pandas,PCA,AWS,Data Preprocessing,Case Studies, and many more
https://thedatamonk.com/product/the-data-monk-e-book-bundle/

Note – Set C contains all the questions of Set B


Youtube Channel – The Data Monk

Unlike any other youtube channel, we do not teach basic stuff, we teach only topics that are asked in interviews. If the interviewer asks about p-value, we will have a video on that topic,
If the interviewer is interested in asking the sequence of execution of SQL commands then we will give you an overview of all the commands but stress so much on the question that can answer it comfortably in the interview. We definitely recommend you to follow our youtube channel for any topic that you are interested in or weak at
.

If you wish to get all the study material and topics to cover for an interview at one place, then you can subscribe to our channel. We have covered the complete syllabus of
Get all the youtube videos playlist on our youtube Channel – The Data Monk

Code in Python for Data Science – Understand one algorithm at a time in 30 minutes (theory and python code)
Company-wise Data Science Interview Questions – 15 videos on how to crack analytics interview
Complete Numpy Tutorial – 14 videos on all the functions and questions on Numpy
Complete Python Pandas Tutorial – 15 videos to completely cover Pandas
SQL Complete Playlist – 20 highly recommended videos to cover all the interview questions
Case Study and Guesstimates Complete Playlist –  Real-life interview case study asked in 2021
Statistics– 10 videos to completely cover Statistics for interviews


Lastly,
If you are in dire need of any help, be it book-wise or guidance-wise, then you can definitely connect with me on Linkedin. We will try to help as much as possible

MasterCard Data Science Interview Questions | Day 44

MasterCard Data Science Interview Questions

Position – Data Scientist
Location – Gurugram
Salary – Best in the industry(Highly negotiable on counter-offer)

Mastercard Incorporated is an American multinational financial services corporation headquartered in the Mastercard International Global Headquarters in Purchase, New York, United States. The Global Operations Headquarters is located in O’Fallon, Missouri.
We compiled some questions for Mastercard Data Science Interview Questions.

Mastercard Data Science Interview Questions

Round details are below

Round 1 – Telephonic Conversation
Round 2 – Walk-in/Face to Face
Round 3 – Project Analysis
Round 4 – Case Studies
Round 5 – Hiring Manager Round

Difficulty of Questions

SQL – 9/10 – Solve the following 150 most asked SQL questions
R/Python – 7/10 Practice ~100 plus question
Statistics/ML – High on Statistics – Practice here
Case Study – Basic, you can practice a lot of case studies and other statistics topics here –
https://thedatamonk.com/data-science-resources/

Primitive Operations

Database Integrity

Solution

Probability

View

Recommendation Engine

Binary Classification Model

Taxonomy

Map-Reduce Concept

Search Engine

The Data Monk e-books

Tired of online courses costing 2 to 8 lakh and taking more than a year to complete?
Tired of going through 500+ hours of videos at a super slow pace?
We at The Data Monk believe that you have to start and complete things as quickly as possible. We believe in a target-based study where we break a topic into 100 questions and make sure that if you cover these questions you will surely be able to crack the interview questions. Rest all theory and practical can ONLY be learned while working in an organization.


Pick any of our books from our e-shop page and complete it in 6-8 hours, learn the 100 questions and write it in your resume. We guarantee you that you will nail 8 out of 10 interviews

We also have 3 bundles at a price that is affordable to everyone. We are a group of people placed in best of the product-based companies and we take 100+ interviews per week. Do we know what is being asked and what is not? So, just grab any of the following book bundles and give not more than 30 days to LEARN all the questions. We guarantee you that you will become a very strong candidate in any analytics interview

Set A – [3rd/4th year/ and 0 to 3 years of experience]

Crack any analytics or data science interview with our 1400+ interview questions which focus on multiple domains i.e. SQL, R, Python, Machine Learning, Statistics, and Visualization. – https://thedatamonk.com/product/books-to-crack-analytics-interview/

Set B – [0-5 Years of Experience]

1200+ Interview Questions on all the important Machine Learning algorithms (including complete Python code) Ada Boost, CNN, ANN, Forecasting (ARIMA, SARIMA, ARIMAX), Clustering, LSTM, SVM, Linear Regression, Logistic Regression, Sentiment Analysis, NLP, K-Mean – https://thedatamonk.com/product/machine-learning-interview-questions/

Set C – [0-7 Years of Experience]

2000+ interview questions that include 100 questions each on 12 most asked Machine Learning Algorithms, Python, Numpy and Pandas – 300 Interview Questions, Pandas,PCA,AWS,Data Preprocessing,Case Studies, and many more
https://thedatamonk.com/product/the-data-monk-e-book-bundle/

Note – Set C contains all the questions of Set B


Youtube Channel – The Data Monk

Unlike any other youtube channel, we do not teach basic stuff, we teach only topics that are asked in interviews. If the interviewer asks about p-value, we will have a video on that topic,
If the interviewer is interested in asking the sequence of execution of SQL commands then we will give you an overview of all the commands but stress so much on the question that can answer it comfortably in the interview. We definitely recommend you to follow our youtube channel for any topic that you are interested in or weak at
.

If you wish to get all the study material and topics to cover for an interview at one place, then you can subscribe to our channel. We have covered the complete syllabus of
Get all the youtube videos playlist on our youtube Channel – The Data Monk

Code in Python for Data Science – Understand one algorithm at a time in 30 minutes (theory and python code)
Company-wise Data Science Interview Questions – 15 videos on how to crack analytics interview
Complete Numpy Tutorial – 14 videos on all the functions and questions on Numpy
Complete Python Pandas Tutorial – 15 videos to completely cover Pandas
SQL Complete Playlist – 20 highly recommended videos to cover all the interview questions
Case Study and Guesstimates Complete Playlist –  Real-life interview case study asked in 2021
Statistics– 10 videos to completely cover Statistics for interviews


Lastly,
If you are in dire need of any help, be it book-wise or guidance-wise, then you can definitely connect with me on Linkedin. We will try to help as much as possible

Lowe’s Data Science Interview Questions | Day 36

Day 36 – Lowe’s Data Science Interview Questions

Interview processes at Lowe’s depends a lot on the requirement of the team. We have candidates who were totally grilled on SQL with no questions on Statistics and vice-versa. So, do solve as many interview questions as possible

Lowe’s Companies, Inc., doing business as Lowe’s, is an American retail company specializing in home improvement. Headquartered in Mooresville, North Carolina, the company operates a chain of retail stores in the United States, Canada, and Mexico.

Lowe’s Data Science Interview Questions

Lowe's Data Science Interview Questions

We bring some of the questions asked in a Lowe’s Data Analyst interview. They will give you insight of the selection procedure.

Round details are below

Round 1 – Telephonic Conversation
Round 2 – Walk-in/Face to Face
Round 3 – Project Analysis
Round 4 – Case Studies
Round 5 – Hiring Manager Round

Difficulty of Questions

SQL – 8/10 (Try to solve more interview questions from this website)
R/Python – 7/10 (Revise the basics of data structure, loop, casting, import export)
Statistics/ML – 9/10
Case Study – Basic, you can practice a lot of case studies and other statistics topics here –
https://thedatamonk.com/data-science-resources/

Ace Probability

Geometric Distributed Random Variable

Metric

Playlist

Sample Point

Fair Coin

Query I

Query II

Query III

Overweight

The Data Monk e-books

Tired of online courses costing 2 to 8 lakh and taking more than a year to complete?
Tired of going through 500+ hours of videos at a super slow pace?
We at The Data Monk believe that you have to start and complete things as quickly as possible. We believe in a target-based study where we break a topic into 100 questions and make sure that if you cover these questions you will surely be able to crack the interview questions. Rest all theory and practical can ONLY be learned while working in an organization.


Pick any of our books from our e-shop page and complete it in 6-8 hours, learn the 100 questions and write it in your resume. We guarantee you that you will nail 8 out of 10 interviews

We also have 3 bundles at a price that is affordable to everyone. We are a group of people placed in best of the product-based companies and we take 100+ interviews per week. Do we know what is being asked and what is not? So, just grab any of the following book bundles and give not more than 30 days to LEARN all the questions. We guarantee you that you will become a very strong candidate in any analytics interview

Set A – [3rd/4th year/ and 0 to 3 years of experience]

Crack any analytics or data science interview with our 1400+ interview questions which focus on multiple domains i.e. SQL, R, Python, Machine Learning, Statistics, and Visualization. – https://thedatamonk.com/product/books-to-crack-analytics-interview/

Set B – [0-5 Years of Experience]

1200+ Interview Questions on all the important Machine Learning algorithms (including complete Python code) Ada Boost, CNN, ANN, Forecasting (ARIMA, SARIMA, ARIMAX), Clustering, LSTM, SVM, Linear Regression, Logistic Regression, Sentiment Analysis, NLP, K-Mean – https://thedatamonk.com/product/machine-learning-interview-questions/

Set C – [0-7 Years of Experience]

2000+ interview questions that include 100 questions each on 12 most asked Machine Learning Algorithms, Python, Numpy and Pandas – 300 Interview Questions, Pandas,PCA,AWS,Data Preprocessing,Case Studies, and many more
https://thedatamonk.com/product/the-data-monk-e-book-bundle/

Note – Set C contains all the questions of Set B


Youtube Channel – The Data Monk

Unlike any other youtube channel, we do not teach basic stuff, we teach only topics that are asked in interviews. If the interviewer asks about p-value, we will have a video on that topic,
If the interviewer is interested in asking the sequence of execution of SQL commands then we will give you an overview of all the commands but stress so much on the question that can answer it comfortably in the interview. We definitely recommend you to follow our youtube channel for any topic that you are interested in or weak at
.

If you wish to get all the study material and topics to cover for an interview at one place, then you can subscribe to our channel. We have covered the complete syllabus of
Get all the youtube videos playlist on our youtube Channel – The Data Monk

Code in Python for Data Science – Understand one algorithm at a time in 30 minutes (theory and python code)
Company-wise Data Science Interview Questions – 15 videos on how to crack analytics interview
Complete Numpy Tutorial – 14 videos on all the functions and questions on Numpy
Complete Python Pandas Tutorial – 15 videos to completely cover Pandas
SQL Complete Playlist – 20 highly recommended videos to cover all the interview questions
Case Study and Guesstimates Complete Playlist –  Real-life interview case study asked in 2021
Statistics– 10 videos to completely cover Statistics for interviews


Lastly,
If you are in dire need of any help, be it book-wise or guidance-wise, then you can definitely connect with me on Linkedin. We will try to help as much as possible

150+ SQL Data Science interview Questions

SQL Data Science interview Questions

Here 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 companies.

Try to solve 10-12 questions per day, don’t skip any question and try to google out the answer in case you are confused or have no clue

SQL Data Science interview Questions

SQL Data Science interview Questions
https://thedatamonk.com/question/sql-interview-questions-common-data/

SQL Interview Questions | Alternate Rows

https://thedatamonk.com/question/sql-interview-questions-alternate-rows/

Moonfrog Interview Questions | Queries

https://thedatamonk.com/question/moonfrog-interview-questions-queries/

Lowe’s Interview Questions | Query I

https://thedatamonk.com/question/lowes-interview-questions-query-i/

Lowe’s Interview Questions | Query II

https://thedatamonk.com/question/lowes-interview-questions-query-ii/

Lowe’s Interview Questions | Query III

https://thedatamonk.com/question/lowes-interview-questions-query-iii/

Lowe’s Interview Questions | Over-weight

https://thedatamonk.com/question/lowes-interview-questions-over-weight/

EXL Interview Questions| Triggers

https://thedatamonk.com/question/exl-interview-questions-triggers/

EXL Interview Questions| Salary

https://thedatamonk.com/question/exl-interview-questions-salary/

EXL Interview Questions| Gender

https://thedatamonk.com/question/exl-interview-questions-gender/

SQL Interview Questions | PARTITION key

https://thedatamonk.com/question/sql-interview-questions-partition-key/

SQL Interview Questions | Solving Database Problem

https://thedatamonk.com/question/sql-interview-questions-solving-database-problem/

SQL Interview Questions | Separate DOB Data of Employess

https://thedatamonk.com/question/sql-interview-questions-separate-dob-data-of-employess/

SQL Interview Questions | Copy the Table

https://thedatamonk.com/question/sql-interview-questions-copy-the-table/

SQL Interview Questions | 8 Characters in name

https://thedatamonk.com/question/sql-interview-questions-8-characters-in-name/

SQL Interview Questions | First name

https://thedatamonk.com/question/sql-interview-questions-first-name/

SQL Interview Questions | Nth Highest Salary

https://thedatamonk.com/question/sql-interview-questions-nth-highest-salary/

SQL Interview Questions | Employee Details

https://thedatamonk.com/question/sql-interview-questions-employee-details/

SQL Interview Questions | Pay Raise

https://thedatamonk.com/question/sql-interview-questions-pay-raise/

SQL Interview Questions | OFFSET Command Problem

https://thedatamonk.com/question/sql-interview-questions-offset-command-problem/

SQL Interview Questions | Get the appropriate result

https://thedatamonk.com/question/sql-interview-questions-get-the-appropriate-result/

SQL Interview Questions | Alternative of TOP Clause

https://thedatamonk.com/question/sql-interview-questions-alternative-of-top-clause/

SQL Interview Questions | Output of Functions

https://thedatamonk.com/question/sql-interview-questions-output-of-functions/

SQL Interview Questions | Remove duplicate entries

https://thedatamonk.com/question/sql-interview-questions-remove-duplicate-entries/

SQL Interview Questions | Employees with same salary

https://thedatamonk.com/question/sql-interview-questions-employees-with-same-salary/

SQL Interview Questions | Collect employee details

https://thedatamonk.com/question/sql-interview-questions-collect-employee-details/

SQL Interview Questions | Find the manager name

https://thedatamonk.com/question/sql-interview-questions-find-the-manager-name/

SQL Interview Questions | Verify the Table

https://thedatamonk.com/question/sql-interview-questions-verify-the-table/

Accenture Interview Questions | How the triggers will execute if two or more triggers?

https://thedatamonk.com/question/accenture-interview-questions-how-the-triggers-will-execute-if-two-or-more-triggers/

Accenture Interview Questions | If a emp table is having duplicate emp_id then can we make it primary key?

https://thedatamonk.com/question/accenture-interview-questions-if-a-emp-table-is-having-duplicate-emp_id-then-can-we-make-it-primary-key/

Accenture Interview Questions | Primary Key

https://thedatamonk.com/question/accenture-interview-questions-primary-key/

Accenture Interview Questions | Cumulative Sum

https://thedatamonk.com/question/accenture-interview-questions-cumulative-sum/

Affine Analytics Interview Questions | DDL, DML, and DCL commands

https://thedatamonk.com/question/affine-analytics-interview-questions-ddl-dml-and-dcl-commands/

Affine Analytics Interview Questions | How to get 3 Min salaries?

https://thedatamonk.com/question/affine-analytics-interview-questions-how-to-get-3-min-salaries/

Affine Analytics Interview Questions | How to fetch only even rows from a table?

https://thedatamonk.com/question/affine-analytics-interview-questions-how-to-fetch-only-even-rows-from-a-table/

Affine Analytics Interview Questions | What is a RANK() function? How is it different from ROW_NUMBER()?

https://thedatamonk.com/question/affine-analytics-interview-questions-what-is-a-rank-function-how-is-it-different-from-row_number/

BOX8 | SQL Query on Regular Expression

https://thedatamonk.com/question/box8-sql-query-on-regular-expression/

BOX8 | Regular Expression in SQL

https://thedatamonk.com/question/box8-regular-expression-in-sql/

BOX8 | SQL Query

https://thedatamonk.com/question/box8-sql-query/

BOX8 | Ranking in SQL

https://thedatamonk.com/question/box8-ranking-in-sql/

Amazon Interview Question | What is NTILE with syntax?

https://thedatamonk.com/question/amazon-interview-question-what-is-ntile-with-syntax/

What is the use of IFNULL and ISNULL in SQL?

https://thedatamonk.com/question/what-is-the-use-of-ifnull-and-isnull-in-sql/

Important conditions for joining two tables on a key?

https://thedatamonk.com/question/important-conditions-for-joining-two-tables-on-a-key/

What is Hash Join?

https://thedatamonk.com/question/what-is-hash-join/

Write a SQL query to find the common records between two tables?

https://thedatamonk.com/question/write-a-sql-query-to-find-the-common-records-between-two-tables/

Write the query to remove the duplicates from a table without using a temporary table?

https://thedatamonk.com/question/write-the-query-to-remove-the-duplicates-from-a-table-without-using-a-temporary-table/

Get the number of duplicate names and their frequency

https://thedatamonk.com/question/get-the-number-of-duplicate-names-and-their-frequency/

Extract all the distinct email id domain from all the employee

https://thedatamonk.com/question/extract-all-the-distinct-email-id-domain-from-all-the-employee/

what is the difference between NVL and NVL2 functions?

https://thedatamonk.com/question/what-is-the-difference-between-nvl-and-nvl2-functions/

Find all the students who either are male or live in Mumbai ( have Mumbai as a part of their address).

https://thedatamonk.com/question/find-all-the-students-who-either-are-male-or-live-in-mumbai-have-mumbai-as-a-part-of-their-address/

Get alternate record from table

https://thedatamonk.com/question/get-alternate-record-from-table/

SQL Regular Expression

https://thedatamonk.com/question/sql-regular-expression/

SQL interview question | Conditional Query

https://thedatamonk.com/question/sql-interview-question-conditional-query/

SQL output question | The Moonfrog Lab interview question

https://thedatamonk.com/question/sql-output-question-the-moonfrog-lab-interview-question/

Can you join two table without any common column?

https://thedatamonk.com/question/can-you-join-two-table-without-any-common-column/

You always have a big data i.e. millions of rows in your tables, how would you partition it for optimum performance?

https://thedatamonk.com/question/you-always-have-a-big-data-i-e-millions-of-rows-in-your-tables-how-would-you-partition-it-for-optimum-performance/

What is indexing in SQL? Meredith India interview question

https://thedatamonk.com/question/what-is-indexing-in-sql-meredith-india-interview-question/

What is the difference between COUNT(*) and COUNT(ColName)?

https://thedatamonk.com/question/what-is-the-difference-between-count-and-countcolname/

What is the use of FETCH command? OLA interview question

https://thedatamonk.com/question/what-is-the-use-of-fetch-command-ola-interview-question/

SQL Query Output | EXL interview question

https://thedatamonk.com/question/sql-query-output-exl-interview-question/

Help me create a table with all the employee Names and Manager Names. SQL OYO interview Questions

https://thedatamonk.com/question/help-me-create-a-table-with-all-the-employee-names-and-manager-names-sql-oyo-interview-questions/

SQL Interview question

https://thedatamonk.com/question/sql-interview-question/

Write a SQL query to find all the student names Nitin in a table

https://thedatamonk.com/question/write-a-sql-query-to-find-all-the-student-names-nitin-in-a-table/

Ranking in SQL

https://thedatamonk.com/question/ranking-in-sql/

Can you use HAVING command without any aggregate function in SQL?

https://thedatamonk.com/question/can-you-use-having-command-without-any-aggregate-function-in-sql/

SQL interview Question | Second Highest Salary – Ranking

https://thedatamonk.com/question/sql-interview-question-second-highest-salary-ranking/

SQL interview Question | Second Highest Salary – Method 1

https://thedatamonk.com/question/sql-interview-question-second-highest-salary-method-1/

SQL interview question | Write the query

https://thedatamonk.com/question/sql-interview-question-write-the-query/

What is the order of execution of SQL commands?

https://thedatamonk.com/question/what-is-the-order-of-execution-of-sql-commands/

What is the use of OFFSET command?

https://thedatamonk.com/question/what-is-the-use-of-offset-command/

What is an Index?

https://thedatamonk.com/question/what-is-an-index/

What is Collation?

https://thedatamonk.com/question/what-is-collation/

What is a Data Definition Language?

https://thedatamonk.com/question/what-is-a-data-definition-language/

Please explain normalization in layman’s term

https://thedatamonk.com/question/please-explain-normalization-in-laymans-term/

Different types of indexes in SQL

https://thedatamonk.com/question/different-types-of-indexes-in-sql/

Can we sort column using column alias in SQL?

https://thedatamonk.com/question/can-we-sort-column-using-column-alias-in-sql/

Clustered and non-clustered index in SQL

https://thedatamonk.com/question/clustered-and-non-clustered-index-in-sql/

What is a trigger?

https://thedatamonk.com/question/what-is-a-trigger/

What is the difference between Cluster and Non-Cluster Index?

https://thedatamonk.com/question/what-is-the-difference-between-cluster-and-non-cluster-index/

What are different types of UDF in SQL?

https://thedatamonk.com/question/what-are-different-types-of-udf-in-sql/

DML

https://thedatamonk.com/question/dml/

What is the difference between DELETE and TRUNCATE commands?

https://thedatamonk.com/question/what-is-the-difference-between-delete-and-truncate-commands/

SQL output interview question

https://thedatamonk.com/question/sql-output-interview-question/

varchar vs char in SQL

https://thedatamonk.com/question/varchar-vs-char-in-sql/

What is the difference between clustered and non clustered index in SQL?

https://thedatamonk.com/question/what-is-the-difference-between-clustered-and-non-clustered-index-in-sql/

What is the role of “Database Testing” in SQL?

https://thedatamonk.com/question/what-is-the-role-of-database-testing-in-sql/

The wildcard in a WHERE clause is useful when?

https://thedatamonk.com/question/the-wildcard-in-a-where-clause-is-useful-when/

What is the function of COALESCE()?

https://thedatamonk.com/question/what-is-the-function-of-coalesce/

SQL Query | Level – Basic

https://thedatamonk.com/question/sql-query-level-basic/

SQL Query | Level – Basic 2

https://thedatamonk.com/question/sql-query-level-basic-2/

SQL Query | Level – Basic 3

https://thedatamonk.com/question/sql-query-level-basic-3/

SQL Query | Level – Basic 4

https://thedatamonk.com/question/sql-query-level-basic-4/

Find the Output

https://thedatamonk.com/question/find-the-output/

Find the Nth largest salary from employee table.

https://thedatamonk.com/question/find-the-nth-largest-salary-from-employee-table/

What is the order of execution of SQL query?https://thedatamonk.com/question/what-is-the-order-of-execution-of-sql-query/

Moonfrog Data Science Interview Questions | Day 34

Day 34 – Moonfrog Data Science Interview Questions
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.

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 Science knowledge.

Definitely the best interview experience and questions for me

Moonfrog Data Science Interview Questions

Moonfrog Data Science Interview Questions



Location – Bangalore
Job Title – Data Scientist
Experience Required – 2-3 Years
Number of Rounds – 4 

This was one of those companies where the interview was to the point and statistics-heavy.

Round 1 – Open book SQL and/or R test

There were 10 SQL questions in 30 minutes and a separate section of R which was not mandatory to attempt for the role but added as an advantage in the further rounds.


Queries

There were 4 questions on R with the following topics:-
1. ggplot
2. Linear Regression implementation
3 and 4 – Table and Question below

Inflow Values

Round 2 – Case Study
The case study round was more about solving any real life business problem. I was asked about my hobbies and I answered with “playing Clash of Clans”, the case study topic :–

Case Study

Data Science Case Study

Home screen of Clash of CLans

This was a business case study, we had the discussion on the following points:-

1. Project the offer directly on the home page instead of clicking on the shop button
2. Put the price to buy elixir and gold near the collector(the pink and yellow images)
3. After every attack resulting in a loss, give an option to buy back the points
4. Get the country-wise data and see the most engaging time of the player and project the offers accordingly
5. Give a variable discount to the players on the basis of their day-to-day performance to allure them in buying coins on the day they performed well

It was a non-elimination and open-ended discussion. The following points were forwarded to the next round which received good feedback from the interviewer. You can think of many more questions

Round 3 – Technical Interview

This was a tough round, it lasted for 45 minutes and was heavily inclined towards conceptual statistics questions and confusing SQL queries. Following are the questions asked(memory based)

1. Normal Distribution
2. Statistics tests
4. p-value
5. Row Number
6. Differences
7. Probability
8. Cards
9. Online Games


Round 4 – HR and Leadership interview
Even this was a tough round to crack, there were people getting rejected after 2 hours of intensive last round. It was mostly around the mistakes you did in all the three previous rounds and some sound questions on Supervised Learning using either R or Python. You can go through the most asked Supervised Learning questions, link below

Supervised Learning interview questions

The HR round was cool, nothing fancy ?

The Data Monk e-books

Tired of online courses costing 2 to 8 lakh and taking more than a year to complete?
Tired of going through 500+ hours of videos at a super slow pace?
We at The Data Monk believe that you have to start and complete things as quickly as possible. We believe in a target-based study where we break a topic into 100 questions and make sure that if you cover these questions you will surely be able to crack the interview questions. Rest all theory and practical can ONLY be learned while working in an organization.


Pick any of our books from our e-shop page and complete it in 6-8 hours, learn the 100 questions and write it in your resume. We guarantee you that you will nail 8 out of 10 interviews

We also have 3 bundles at a price that is affordable to everyone. We are a group of people placed in best of the product-based companies and we take 100+ interviews per week. Do we know what is being asked and what is not? So, just grab any of the following book bundles and give not more than 30 days to LEARN all the questions. We guarantee you that you will become a very strong candidate in any analytics interview

Set A – [3rd/4th year/ and 0 to 3 years of experience]

Crack any analytics or data science interview with our 1400+ interview questions which focus on multiple domains i.e. SQL, R, Python, Machine Learning, Statistics, and Visualization. – https://thedatamonk.com/product/books-to-crack-analytics-interview/

Set B – [0-5 Years of Experience]

1200+ Interview Questions on all the important Machine Learning algorithms (including complete Python code) Ada Boost, CNN, ANN, Forecasting (ARIMA, SARIMA, ARIMAX), Clustering, LSTM, SVM, Linear Regression, Logistic Regression, Sentiment Analysis, NLP, K-Mean – https://thedatamonk.com/product/machine-learning-interview-questions/

Set C – [0-7 Years of Experience]

2000+ interview questions that include 100 questions each on 12 most asked Machine Learning Algorithms, Python, Numpy and Pandas – 300 Interview Questions, Pandas,PCA,AWS,Data Preprocessing,Case Studies, and many more
https://thedatamonk.com/product/the-data-monk-e-book-bundle/

Note – Set C contains all the questions of Set B


Youtube Channel – The Data Monk

Unlike any other youtube channel, we do not teach basic stuff, we teach only topics that are asked in interviews. If the interviewer asks about p-value, we will have a video on that topic,
If the interviewer is interested in asking the sequence of execution of SQL commands then we will give you an overview of all the commands but stress so much on the question that can answer it comfortably in the interview. We definitely recommend you to follow our youtube channel for any topic that you are interested in or weak at
.

If you wish to get all the study material and topics to cover for an interview at one place, then you can subscribe to our channel. We have covered the complete syllabus of
Get all the youtube videos playlist on our youtube Channel – The Data Monk

Code in Python for Data Science – Understand one algorithm at a time in 30 minutes (theory and python code)
Company-wise Data Science Interview Questions – 15 videos on how to crack analytics interview
Complete Numpy Tutorial – 14 videos on all the functions and questions on Numpy
Complete Python Pandas Tutorial – 15 videos to completely cover Pandas
SQL Complete Playlist – 20 highly recommended videos to cover all the interview questions
Case Study and Guesstimates Complete Playlist –  Real-life interview case study asked in 2021
Statistics– 10 videos to completely cover Statistics for interviews


Lastly,
If you are in dire need of any help, be it book-wise or guidance-wise, then you can definitely connect with me on Linkedin. We will try to help as much as possible