some free data science books!

Index

• Data Science Introduction
• Data Processing
• Data Analysis
• Data Science Application
• Uncategorized
• MOOCs about Data Science

Data Science Introduction

• Big Data Now: 2012 Edition - O’Reilly Media Inc. - Beginner
• Data Science: An Introduction - Wikibook - Beginner
• Disruptive Possibilities: How Big Data Changes Everything - Jeffrey Needham - Beginner
• Introduction to Data Science - Jeffery Stanton - Beginner
• Real-Time Big Data Analytics: Emerging Architecture - Mike Barlow - Beginner
• The Evolution of Data Products - Mike Loukides - Beginner
• The Promise and Peril of Big Data - David Bollier - Beginner

Data Processing

• Data-Intensive Text Processing with MapReduce - Jimmy Lin and Chris Dyer - Intermediate

Data Analysis

Fundamentals

• Fundamental Numerical Methods and Data Analysis - George W. Collins - Beginner
• Introduction to Metadata - Murtha Baca - Beginner
• 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 - Beginner
• Modeling with Data: Tools and Techniques for Scientific Computing - Ben Klemens - Beginner

Network Analysis

• Introduction to Social Network Methods - Robert A. Hanneman and Mark Riddle - Intermediate
• Networks, Crowds, and Markets: Reasoning About a Highly Connected World - David Easley and Jon Kleinberg - Intermediate
• Network Science - Sarah Morrison - Beginner
• The Wealth of Networks - Yochai Benkler - Beginner

Statistics

• Advanced Data Analysis from an Elementary Point of View - Cosma Rohilla Shalizi - Veternan
• An Introduction to R - W. N. Venables, D. M. Smith, and the R Core Team - Beginner
• Analyzing Linguistic Data: a practical introduction to statistics - R. H. Baayan - Beginner
• Applied Data Science - Ian Langmore and Daniel Krasner - Intermediate
• Concepts and Applications of Inferential Statistics - Richard Lowry - Beginner
• Forecasting: Principles and Practice - Rob J. Hyndman and George Athanasopoulos - Intermediate
• Introduction to Probability - Charles M. Grinstead and J. Laurie Snell - Beginner
• Introduction to Statistical Thought - Michael Lavine - Beginner
• OpenIntro Statistics - Second Edition - David M. Diez, Christopher D. Barr, and Mine Cetinkaya-Rundel - Beginner
• simpleR - Using R for Introductory Statistics - John Verzani - Beginner
• Statistics - Beginner
• Think Stats: Probability and Statistics for Programmers - Allen B. Downey - Beginner

Data Mining

• Data Mining and Analysis: Fundamental Concepts and Algorithms - Mohammed J. Zaki and Wagner Meira Jr. - Intermediate
• Data Mining and Knowledge Discovery in Real Life Applications - Julio Ponce and Adem Karahoca - Beginner
• Data Mining for Social Network Data - Springer - Veteran
• Mining of Massive Datasets - Anand Rajaraman, Jure Leskovec, and Jeffrey D. Ullman - Intermediate
• Knowledge-Oriented Applications in Data Mining - Kimito Funatsu - Intermediate
• New Fundamental Technologies in Data Mining - Kimito Funatsu - Intermediate
• R and Data Mining: Examples and Case Studies - Yanchang Zhao - Beginner
• The Elements of Statistical Learning - Trevor Hastie, Robert Tibshirani, and Jerome Friedman - Intermediate
• Theory and Applications for Advanced Text Mining - Shigeaki Sakurai - Intermediate

Machine Learning

• A Course in Machine Learning - Hal Daume - Beginner
• A First Encounter with Machine Learning - Max Welling - Beginner
• Bayesian Reasoning and Machine Learning - David Barber - Veteran
• Gaussian Processes for Machine Learning - Carl Edward Rasmussen and Christopher K. I. Williams - Veteran
• Introduction to Machine Learning - Alex Smola and S.V.N. Vishwanathan - Intermediate
• Probabilistic Programming & Bayesian Methods for Hackers - Cam Davidson-Pilon (main author) - Intermediate
• The LION Way: Machine Learning plus Intelligent Optimization - Robert Battiti and Mauro Brunato - Intermediate
• Thinking Bayes - Allen B. Downey - Beginner
• Sklearn Basics - Beginner

Data Science Application

Information Retrieval

• Introduction to Information Retrival - Christopher D. Manning, Prabhakar Raghavan, and Hinrich Schutze - Intermediate

Data Visualization

• Interactive Data Visualization for the Web - Scott Murray - Beginner
• Plotting and Visualization in Python - Beginner

Uncategorized

• Data Journalism Handbook - Jonathan Gray, Liliana Bounegru, and Lucy Chambers - Beginner
• Building Data Science Teams - DJ Patil - Beginner
• Information Theory, Inference, and Learning Algorithms - David MacKay - Intermediate
• Mathematics for Computer Science - Eric Lehman, Thomas Leighton, and Albert R. Meyer - Beginner
• The Field Guide to Data Science - Beginner

###MOOCs about Data Science

• Data Mining with Weka - Ian H. Witten - Intermediate
• Introduction to Data Science - Bill Howe (Coursera) - Beginner
• Introduction to Hadoop and MapReduce - Udacity - Beginner
• Machine Learning - Andrew Ng (Coursera) - Beginner
• Machine Learning Foundatiaons (taught in Chinese) - Hsuan-Tien Lin - Beginner
• Machine Learning Video Library - Yaser Abu-Mostafa - Intermediate
• Natural Language Processing - Dan Jurafsky and Christopher Manning (Coursera) - Intermediate
• Social and Economic Networks: Models and Analysis - Matthew O. Jackson (Coursera) - Intermediate
• Social Network Analysis - Lada Adamic (Coursera) - Intermediate