Superfreakonomics
Lie Wei Te. Du Bo Na(Dubne
Published 2009
272 pages
The most popular data science books
Data science books show you how to learn from data. Statistics, databases, visualization and machine learning are taught through practical examples, usually with code. Beginners will find gentle introductions and working analysts will find deeper references. Good reading for a career change, too.
Results
Dataclysm Love, Sex, Race, and Identity#What Our Online Lives Tell Us About Our Offline Selves
Christian Rudder
2014 · 2015 edition
320 pages
Hello World Being Human in the Age of Algorithms
Hannah Fry
Published 2018
243 pages
Code The Hidden Language of Computer Hardware and Software
Charles Petzold
1999 · 2000 edition
400 pages
Hackers & Painters Big Ideas from the Computer Age
Paul Graham
2004 · 2010 edition
258 pages
Power And Prediction
Ajay Agrawal, Joshua Gans, Avi Goldfarb
Published 2022
256 pages
A Thousand Brains A New Theory of Intelligence
Jeff Hawkins, Richard Dawkins
Published 2021
272 pages
Big Data A Revolution that Will Transform how We Live, Work and Think
Viktor Mayer-Schönberger, Kenneth Cukier, Michał Głatki, MT Biznes
Published 2013
242 pages
The Book of why The New Science of Cause and Effect
Judea Pearl
2018 · 2019 edition
418 pages
The Master Algorithm How the Quest for the Ultimate Learning Machine Will Remake Our World
Pedro Domingos
2015 · 2017 edition
352 pages
Grokking Algorithms An illustrated guide for programmers and other curious people
Aditya Y. Bhargava
Published 2016
256 pages
Calling Bullshit The Art of Scepticism in a Data-driven World
Carl T. Bergstrom, Jevin D. West
Published 2020
336 pages
Storytelling with Data Let's Practice!
Cole Nussbaumer Knaflic
2015 · 2019 edition
448 pages
Confessions of a Public Speaker
Scott Berkun
2009 · 2010 edition
238 pages
You Look Like a Thing and I Love You
Janelle Shane
Published 2019
259 pages
Information is Beautiful
David McCandless
2009 · 2012 edition
255 pages
The Sketchnote Handbook The Illustrated Guide to Visual Note Taking
Mike Rohde
2012 · 2013 edition
205 pages
The Art of Statistics How to Learn from Data
David Spiegelhalter
2019 · 2021 edition
426 pages
If Then How One Data Company Invented the Future
Jill Lepore
Published 2020
432 pages
Data Science for Business
Foster Provost, Tom Fawcett
Published 2013
384 pages
An Illustrated Book of Bad Arguments
Ali Almossawi, Alejandro Giraldo
Published 2013
56 pages
Python for data analysis
Wes McKinney
2012 · 2013 edition
452 pages
Practical Object-oriented Design in Ruby An Agile Primer
Sandi Metz
2012 · 2013 edition
247 pages
The Elements of Statistical Learning Data Mining, Inference, and Prediction
Trevor Hastie, Robert Tibshirani, Jerome Friedman
Published 2001
533 pages