Pulled from the web, here is a great collection of eBooks (most of which have a physical version that you can purchase on Amazon) written on the topics of Data Science, Business Analytics, Data Mining, Big Data, Machine Learning, Algorithms, Data Science Tools, and Programming Languages for Data Science.

#### Data Science in General

**An Introduction to Data Science**

*Jeffrey Stanton,*2013**Data Jujitsu: The Art of Turning Data into Product**

*DJ Patil,*2012

#### Interviews with Data Scientists

**The Data Science Handbook**

[Buy from Amazon]*Carl Shan, Henry Wang, William Chen, & Max Song,*2015**The Data Analytics Handbook**

*Brian Liou, Tristan Tao, & Declan Shener,*2015

#### Forming Data Science Teams

**Data Driven: Creating a Data Culture**

[Buy on Amazon]*Hilary Mason & DJ Patil,*2015**Building Data Science Teams**[Buy on Amazon]

*DJ Patil*, 2011**Understanding the Chief Data Officer**

*Julie Steele,*2015

#### Data Analysis

**The Elements of Data Analytic Style**

[Buy on Amazon]*Jeff Leek*, 2015**Python for Data Analysis**[Buy on Amazon]

*Wes McKinney,*2012

#### Distributed Computing Tools

**Hadoop: The Definitive Guide**[Buy on Amazon]

*Tom White,*2011**Data-Intensive Text Processing with MapReduce**

[Buy on Amazon]*Jimmy Lin & Chris Dyer,*2010

#### Learning Languages

##### Python

**Think Python: How to Think Like a Computer Scientist**

*Allen Downey,*2012**Python Programming**

*Wikibooks*, 2015**Automate the Boring Stuff with Python: Practical Programming for Total Beginners**

[Buy on Amazon]*Al Sweigart,*2015**Learn Python the Hard Way**

[Buy on Amazon]*Zed A. Shaw,*2013**Dive Into Python 3**

[Buy on Amazon]*Mark Pilgrim*, 2009

##### R

**R Programming for Data Science**

*Roger D. Peng,***R Programming**

*Wikibooks,*2014**Advanced R**

[Buy on Amazon]*Hadley Wickham,*2014

##### SQL

**Learn SQL The Hard Way**

*Zed. A. Shaw,*2010**SQL Tutorial**

*Tutorials Point*

#### Data Mining and Machine Learning

**Introduction to Machine Learning**

*Amnon Shashua,*2008**Machine Learning**

*Abdelhamid Mellouk & Abdennacer Chebira,*450**Machine Learning – The Complete Guide**

*Wikipedia***Social Media Mining An Introduction**

[Buy on Amazon]*Reza Zafarani, Mohammad Ali Abbasi, & Huan Liu,*2014**Data Mining: Practical Machine Learning Tools and Techniques**

[Buy on Amazon]*Ian H. Witten & Eibe Frank*,**Mining of Massive Datasets**[Buy on Amazon]

*Jure Leskovec, Anand Rajaraman, & Jeff Ullman*, 2014**A Programmer’s Guide to Data Mining**

*Ron Zacharski,*2015**Data Mining with Rattle and R**

[Buy on Amazon]*Graham Williams,*2011**Data Mining and Analysis: Fundamental Concepts and Algorithms**[Buy on Amazon]

*Mohammed J. Zaki & Wagner Meria Jr.,*2014**Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More**[Buy on Amazon]

*Matthew A. Russell*, 2014**Probabilistic Programming & Bayesian Methods for Hackers**[Buy on Amazon]

*Cam Davidson-Pilon,*2015**Data Mining Techniques For Marketing, Sales, and Customer Relationship Management**

[Buy on Amazon]*Michael J.A. Berry & Gordon S. Linoff*, 2004**Inductive Logic Programming: Techniques and Applications**

[Buy on Amazon]

*Nada Lavrac & Saso Dzeroski,*1994**Pattern Recognition and Machine Learning**

[Buy on Amazon]*Christopher M. Bishop,*2006**Machine Learning, Neural and Statistical Classification**

[Buy on Amazon]*D. Michie, D.J. Spiegelhalter, & C.C. Taylor,*1999**Information Theory, Inference, and Learning Algorithms**

[Buy on Amazon]*David J.C. MacKay,*2005**Data Mining and Business Analytics with R**

[Buy on Amazon]*Johannes Ledolter*, 2013**Bayesian Reasoning and Machine Learning**[Buy on Amazon]

*David Barber,*2014**Gaussian Processes for Machine Learning**

[Buy on Amazon]*C. E. Rasmussen & C. K. I. Williams,*2006**Reinforcement Learning: An Introduction**

[Buy on Amazon]*Richard S. Sutton & Andrew G. Barto,*2012**Algorithms for Reinforcement Learning**

[Buy on Amazon]*Csaba Szepesvari ,*2009**Big Data, Data Mining, and Machine Learning**[Buy on Amazon]

*Jared Dean*, 2014**Modeling With Data**

[Buy on Amazon]*Ben Klemens,*2008**KB – Neural Data Mining with Python Sources**

[Buy on Amazon]*Roberto Bello,*2013**Deep Learning**

*Yoshua Bengio, Ian J. Goodfellow, & Aaron Courville,*2015**Neural Networks and Deep Learning**

*Michael Nielsen,*2015**Data Mining Algorithms In R**

*Wikibooks,*2014**Data Mining and Analysis: Fundamental Concepts and Algorithms**[Buy on Amazon]

*Mohammed J. Zaki & Wagner Meira Jr.,*2014**Theory and Applications for Advanced Text Mining**

*Shigeaki Sakurai,*2012

#### Statistics and Statistical Learning

**Think Stats: Exploratory Data Analysis in Python**[Buy on Amazon]

*Allen B. Downey,*2014**Think Bayes: Bayesian Statistics Made Simple**[Buy on Amazon]

*Allen B. Downey,*2012**The Elements of Statistical Learning: Data Mining, Inference, and Prediction**

[Buy on Amazon]*Trevor Hastie, Robert Tibshirani, & Jerome Friedman,*2008**An Introduction to Statistical Learning with Applications in R**

[Buy on Amazon]*Gareth James, Daniela Witten, Trevor Hastie, & Robert Tibshirani,*2013**A First Course in Design and Analysis of Experiments**

[Buy on Amazon]*Gary W. Oehlert,*2010

#### Data Visualization

**D3 Tips and Tricks**

[Buy on Amazon]*Malcolm Maclean,*2015**Interactive Data Visualization for the Web**

[Buy on Amazon]*Scott Murray,*2013

#### Big Data

**Disruptive Possibilities: How Big Data Changes Everythi**ng

[Buy on Amazon]*Jeffrey Needham,*2013**Real-Time Big Data Analytics: Emerging Architecture**[Buy on Amazon]

*Mike Barlow,*2013**Big Data Now: 2012 Edition**[Buy on Amazon]

*O’Reilly Media, Inc.,*2012

#### Computer Science Topics

**Natural Language Processing with Python**

[Buy on Amazon]*Steven Bird,*2009**Computer Vision**

[Buy on Amazon]*Richard Szeliski,*2010**Concise Computer Vision**

[Buy on Amazon]*Reinhard Klette,*2010**Artificial Intelligence A Modern Approach, 1st Edition**[Buy on Amazon (3rd Edition)]

*Stuart Russell,*1995

If you have any suggestions of free books to include or want to review a book mentioned, please comment below and let me know! ∞