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
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
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
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
Website – ~2000 completed solved Interview questions in SQL, Python, ML, and Case Study Link –The Data Monk website
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
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
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
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
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
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
Website – ~2000 completed solved Interview questions in SQL, Python, ML, and Case Study Link –The Data Monk website
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
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
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
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
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 oure-shop pageand 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]
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.
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
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
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
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.
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:-
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
Let us now have a look at some of the Nvidia Data Science Interview 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/
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 oure-shop pageand 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]
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.
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
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
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
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 oure-shop pageand 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]
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.
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
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.
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
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 oure-shop pageand 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]
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.
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
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
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/
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 oure-shop pageand 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]
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.
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
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 Interview Questions | Alternate Rows
Moonfrog Interview Questions | Queries
Lowe’s Interview Questions | Query I
Lowe’s Interview Questions | Query II
Lowe’s Interview Questions | Query III
Lowe’s Interview Questions | Over-weight
EXL Interview Questions| Triggers
EXL Interview Questions| Salary
EXL Interview Questions| Gender
SQL Interview Questions | PARTITION key
SQL Interview Questions | Solving Database Problem
SQL Interview Questions | Separate DOB Data of Employess
SQL Interview Questions | Copy the Table
SQL Interview Questions | 8 Characters in name
SQL Interview Questions | First name
SQL Interview Questions | Nth Highest Salary
SQL Interview Questions | Employee Details
SQL Interview Questions | Pay Raise
SQL Interview Questions | OFFSET Command Problem
SQL Interview Questions | Get the appropriate result
SQL Interview Questions | Alternative of TOP Clause
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
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.
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 :–
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)
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
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 oure-shop pageand 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]
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.
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