Infographic: Must Read Books in Analytics / Data Science
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.
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 emails, follow us on twitter or like our facebook page.
Sign in with Email
7 thoughts on "Infographic: Must Read Books in Analytics / Data Science"
Sandeep says: June 23, 2015 at 6:04 am
Thanks for the article!abhinav singh says: June 24, 2015 at 9:49 am
The content about Freakonomics is mistakenly same as that of moneyball! Please correctAnalytics Vidhya Content Team says: June 29, 2015 at 6:27 am
@abhinav - Thanks for pointing out the error. It has been corrected now! :)Kumar says: July 22, 2015 at 12:38 pm
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 ForemanMike S says: August 13, 2015 at 4:57 am
The link at the end of this sentence (above) doesn't work: "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." I wanted to recommend R in a Nutshell.Dulluri says: December 07, 2015 at 3:07 pm
Add "Learning from Data" by Prof Yaser Abu - Mostafa to the list.Dr.S.Jayaprakash says: June 30, 2017 at 11:37 am
Rogue Trader - Nick Leeson is a definite add to the list. Film is also available for those who hate to read this book :-)