Register Now

Login

Lost Password

Lost your password? Please enter your email address. You will receive a link and will create a new password via email.

Login

Register Now

It will take less than 1 minute to register for lifetime. Bonus Tip - We don't send OTP to your email id Make Sure to use your own email id for free books and giveaways

Your Guide to Crack the Data Scientist Interview

Topic – Crack Data Scientist Interview

In this post, we will check all the resources that you would require to crack the Data Scientist interview. You can cover the Data Scientist syllabus in 30 days with The Data Monk, but this is for Analytics interviews. This post is specifically for Analytics Interviews. Just try to follow the resources below.

The resources to Crack Data Scientist Interview Preparation are split into 4 parts

1. Company wise Data Scientist Interview Questions and Round details, we cover the most important concepts as well as questions that are asked in the interviews
2. Most important concept videos for DS Interviews – We have 50+ videos on YouTube freely available, these are not simple concepts or basic questions(like in other channels). We only concentrate on the most important concepts concerning the interview questions
3. Data Scientist Complete e-book for all the questions that will be asked in the interviews – This is the master set of questions, learn it and you will be able to solve more than 90% of questions in any Analytics interview round



Crack Data Scientist Interview


In this section we will have all the company-wise interview questions, we already have a lot of posts on the same. Stay tuned so we can update this section.

Coming soon



This e-book is for candidates targeting the Data Science and Machine Learning domain. The book is a bundle of 23 e-books targeting all the important Machine Learning algorithms, along with Python code as well as e-books on SQL, Python, case studies, etc.


This e-book will have all the interview questions and answers in layman’s terms. Give it a try and you will get the best result with these resources.

Link to buy the 23 e-book Machine Learning bundle

The list of e-books in this bundle is given below:

  1. Ada Boost in Python with interview questions
  2. Python Questions to crack Analytics interviews
  3. SQL Tricky Interview Questions
  4. Case Studies and Guesstimates for Analytics Interviews
  5. Convolution Neural Network model and interview question
  6. Artificial Neural Network model and interview question
  7. Numpy Most Asked Interview Questions
  8. Statistics Most Asked Interview Questions
  9. Forecasting ARIMA, ARIMAX, SARIMA Interview Questions
  10. Clustering Interview Questions
  11. Long Short Term Memory Interview Questions
  12. A/B Testing Interview Questions
  13. SVM and Linear Regression Interview Questions
  14. Tensor Flow Interview Questions
  15. AWS Interview Questions for Analytics domain
  16. Data Preprocessing in Python
  17. Logistic Regression Interview Questions
  18. MS Excel in Analytics
  19. Sentiment Analysis interview questions in Python
  20. Pandas Interview Questions
  21. Natural Language Processing Interview Question and complete Python Code
  22. K-Mean interview Questions and implementation in Python
  23. Linear Regression Complete guide

We have a dedicated list of 200+ videos on YouTube, you can go through any topic of your interest and understand the topic.

  1. Introduction to Machine Learning and AI – https://youtu.be/MTHEIQk5zwI
  2. Introduction to Linear and Logistic Regression in Machine Learning – https://youtu.be/IqBAm9nJLng
  3. Introduction to Decision Tree in Machine Learning – https://youtu.be/7PrDWwM0dv8
  4. Python Basics Revision in 30 minutes – https://youtu.be/0IRMAXTgZIw
  5. EDA in Machine Learning – https://youtu.be/zw5AruehIZo
  6. Linear Regression Theory and Code in 30 minutes (Python) – https://youtu.be/VzeAxFkYuf8
  7. Logistic Regression Theory and Code in 30 minutes (Python) – https://youtu.be/l4Fyfmm1ry0
  8. Decision Tree Code and Theory in 30 minutes – https://youtu.be/1Ev35ZZh18U
  9. Complete LSTM model with Stock price prediction at 98% accuracy – Code and Theory – https://youtu.be/R97p_Y9U6Io
  10. Random Forest Adaboost Theory and Code in Python – https://youtu.be/3NhH8h0_kZk
  11. Complete Support Vector Machine Algorithm, Theory and Code in Python – https://youtu.be/im05sGaEbCU
  12. XGBoost Theory and Code in 30 mins in Python – https://youtu.be/0pHEFxVawks
  13. K Nearest Neighbour KNN code and theory in 30 mins – https://youtu.be/0NZakEXw8n8
  14. Naive Bayes Theory and Code in 30 minutes in Python – https://youtu.be/KGP0NZ-4tHU
  15. K-Mean, Hierarchical and DBSCAN Theory and Code in Python – https://youtu.be/iT5W8i-JOpE
  16. Association (Apriori, ECLAT, FP-Growth) Theory and Code in Python – https://youtu.be/7Uk-cpOEecI
  17. Dimension Reduction Theory and Code in Python – https://youtu.be/HDIWTZnl3hU
  18. Regression case study for Data Science Interview – https://youtu.be/7pzcgpCr6Ps



Also, we have videos on interview experiences and questions asked in these interviews on our YouTube channel.
Do subscribe to the channel

About TheDataMonkGrand Master

I am the Co-Founder of The Data Monk. I have a total of 6+ years of analytics experience 3+ years at Mu Sigma 2 years at OYO 1 year and counting at The Data Monk I am an active trader and a logically sarcastic idiot :)

Follow Me

Leave a reply