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⇱ Infographic: Must Read Data Science Books


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Reading list

Infographic: Must Read Books in Analytics / Data Science

Analytics Vidhya Last Updated : 19 Jul, 2020
< 1 min read

Drink Coffee, Read Books, Learn More, Be Happy!

There are 2 attributes all the members in our team at Analytics Vidhya share:

  • We all are voracious readers
  • We all love to share our knowledge with people in simplified manner, so that everyone gets access to this knowledge.

These two attributes lead us to naturally gravitate towards sharing some of the best reads we come across. You can think of this infographic as an ideal list of books to have in bookshelf of every data scientist / analyst. These books cover a wide range of topics and perspective (not only technical knowledge), which should help you become a well rounded data scientist.

For your convenience, we have categorized this bookshelf in following categories: Analytics, Data Science, Data Visualization and Web Analytics. The ones classified under category “Analytics” are actually books which help you understand the perspective of data based decisioning.

Of course, it goes without saying – if you think there are more books, which you think should be added to this list, you should add them in this discussion thread.

👁 must read books in analytics, data science, business analytics for beginners

P.S – To keep this book-shelf handy and to avoid hassles of searching it again and again, you can Download the PDF version.

If you like what you just read & want to continue your analytics learning, subscribe to our emailsfollow us on twitter or like our facebook page.

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Responses From Readers

Sandeep

Thanks for the article!

abhinav singh

The content about Freakonomics is mistakenly same as that of moneyball! Please correct

123 1
Analytics Vidhya Content Team

@abhinav - Thanks for pointing out the error. It has been corrected now! :)

123 456
Kumar

Probably the following 2 books also needs a mention. May be basic and elementary but definitely would give lot of comfort to starters on understanding the concepts and application of Data Science 1) Data Science for Business - Foster Provost & Tom Fawcett 2) Data Smart - John Foreman

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