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The Data Monk 23 e-book bundle

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The Data Monk e-book bundle

Here is a mega e-book bundle to prepare for any analytics interview. In the below set of e-books, you will get all the study material that you need to learn to crack an analytics interview.

We have books on all the important algorithms, SQL, python, statistics and case studies. The price on amazon for each of the 23 books is in the range of Rs.300 which roughly is around Rs.7000. But, our target audience is students which are in their 3rd or 4th year or people with less experience, so we have kept it to a very affordable price.

The book contains ~2000 Interview questions and this is useful to both, someone who has just started the preparation to someone who has 3-5 years of experience

All the books are downloadable in PDF format and can be accessed anytime you want.

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The Data Monk e-book bundle

Here is a mega e-book bundle to prepare for any analytics interview. In the below set of e-books, you will get all the study material that you need to learn to crack an analytics interview.

We have books on all the important algorithms, SQL, python, statistics, and case studies. The price on amazon for each of the 23 books is in the range of Rs.300 which roughly is around Rs.7000. But, our target audience is anyone from a student of 3rd/4th year to 8 years of IT experience, so we have kept it to a very affordable price.

The book contains ~2000 Interview questions and this is useful to both, someone who has just started the preparation to someone who has 3-5 years of experience

All the books are downloadable in PDF format and can be accessed anytime you want. Please do not distribute the e-book !!

List of e-books covered in the below pack of ‘The Data Monk e-book bundle’

  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

If you want to buy more books for revision on any particular topic like SQL, Python, Statistics, Machine Learning Algorithm, or interview questions. Then please visit our e-shop

Rest assured that if you follow our different mediums like our blog cum questions-answer portal www.TheDataMonk.com, our youtube channel – The Data Monk, and our e-books, then you will have a very strong candidature in whichever interview you participate in.

There are many blogs that provide free study materials or questions on different analytical tools and technologies, but we concentrate mostly on the questions which are asked in an interview. We have a set of 100+ books which are available both on Amazon and on The Data Monk e-shop page

We would recommend you to explore our website, youtube channel, and e-books to understand the type of questions covered in our articles. We went for the question-answer approach both on our website as well as our e-books just because we feel that the best way to go from beginner to advance level is by practicing a lot of questions on the topic.

We have launched a series of 50 e-books on our website on all the popular as well as niche topics. Our range of material ranges from SQL, Python, and Machine Learning algorithms to ANN, CNN, PCA, etc.

We are constantly working on our product and will keep on updating it. It is very necessary to go through all the questions present in this book.

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