Drink Coffee, Read Books, Learn More, Be Happy!
There are 2 attributes all the members in our team at Analytics Vidhya share:
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.
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Thanks for the article!
The content about Freakonomics is mistakenly same as that of moneyball! Please correct
@abhinav - Thanks for pointing out the error. It has been corrected now! :)
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
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.
Add "Learning from Data" by Prof Yaser Abu - Mostafa to the list.
Rogue Trader - Nick Leeson is a definite add to the list. Film is also available for those who hate to read this book :-)
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