- Data Science: An Introduction - Wikibook
- Disruptive Possibilities: How Big Data Changes Everything - Jeffrey Needham
- Introduction to Data Science - Jeffery Stanton
- Real-Time Big Data Analytics: Emerging Architecture - Mike Barlow
- The Evolution of Data Products - Mike Loukides
- The Promise and Peril of Big Data - David Bollier
- Data-Intensive Text Processing with MapReduce - Jimmy Lin and Chris Dyer
- Fundamental Numerical Methods and Data Analysis - George W. Collins
- Introduction to Metadata - Murtha Baca
- Introduction to R - Notes on R: A Programming Environment for Data Analysis and Graphics - W. N. Venables, D. M. Smith, and the R Core Team
- Modeling with Data: Tools and Techniques for Scientific Computing - Ben Klemens
- Introduction to Social Network Methods - Robert A. Hanneman and Mark Riddle
- Networks, Crowds, and Markets: Reasoning About a Highly Connected World - David Easley and Jon Kleinberg
- Network Science - Sarah Morrison
- The Wealth of Networks - Yochai Benkler
- Advanced Data Analysis from an Elementary Point of View - Cosma Rohilla Shalizi -
Veteran - An Introduction to R - W. N. Venables, D. M. Smith, and the R Core Team
- Analyzing Linguistic Data: a practical introduction to statistics - R. H. Baayan
- Applied Data Science - Ian Langmore and Daniel Krasner
- Concepts and Applications of Inferential Statistics - Richard Lowry
- Forecasting: Principles and Practice - Rob J. Hyndman and George Athanasopoulos
- Introduction to Probability - Charles M. Grinstead and J. Laurie Snell
- Introduction to Statistical Thought - Michael Lavine
- OpenIntro Statistics - Second Edition - David M. Diez, Christopher D. Barr, and Mine Cetinkaya-Rundel
- simpleR - Using R for Introductory Statistics - John Verzani
- Statistics
- Think Stats: Probability and Statistics for Programmers - Allen B. Downey
- Data Mining and Analysis: Fundamental Concepts and Algorithms - Mohammed J. Zaki and Wagner Meira Jr.
- Data Mining and Knowledge Discovery in Real Life Applications - Julio Ponce and Adem Karahoca
- Data Mining for Social Network Data - Springer -
Veteran - Mining of Massive Datasets - Anand Rajaraman, Jure Leskovec, and Jeffrey D. Ullman
- Knowledge-Oriented Applications in Data Mining - Kimito Funatsu
- New Fundamental Technologies in Data Mining - Kimito Funatsu
- R and Data Mining: Examples and Case Studies - Yanchang Zhao
- The Elements of Statistical Learning - Trevor Hastie, Robert Tibshirani, and Jerome Friedman
- Theory and Applications for Advanced Text Mining - Shigeaki Sakurai
- Introduction to Information Retrival - Christopher D. Manning, Prabhakar Raghavan, and Hinrich Schutze
- Data Journalism Handbook - Jonathan Gray, Liliana Bounegru, and Lucy Chambers
- Building Data Science Teams - DJ Patil
- Information Theory, Inference, and Learning Algorithms - David MacKay
- Mathematics for Computer Science - Eric Lehman, Thomas Leighton, and Albert R. Meyer
- The Field Guide to Data Science