Data Science Books

A list of books covering Data Analysis, Data Science, Machine Learning, Data Visualization, Statistics & Associated Programming Languages

Book of the Month

Data Scientists at Work

A collection of interviews with 16 of the world's most influential and innovative data scientists from across the spectrum of this hot new profession - from Yann LeCun at Facebook, to Daniel Tunkelang at LinkedIn, to Caitlin Smallwood at Netflix, to Jake Porway at DataKind and more ...


Street-Fighting Mathematics: The Art of Educated Guessing and Opportunistic Problem Solving

Data Driven: Profiting from Your Most Important Business Asset

Competing on Analytics: The New Science of Winning

Data Analysis with Open Source Tools

Data Source Handbook

Who's #1?: The Science of Rating and Ranking

Data Science

Doing Data Science: Straight Talk from the Frontline

Data Smart: Using Data Science to Transform Information into Insight

Data Science for Business:
What you need to know about data mining and data-analytic thinking


An Introduction to Statistical Learning: with Applications in R

Data Analysis Using Regression and Multilevel/Hierarchical Models

Statistics As Principled Argument

A Handbook of Statistical Analyses Using R, Second Edition

Mathematical Statistics and Data Analysis (with CD Data Sets)

Machine Learning

Pattern Recognition and Machine Learning

Bayesian Reasoning and Machine Learning

Machine Learning: A Probabilistic Perspective

The LION Way: Learning plus Intelligent Optimization

Natural Language Processing (NLP)

Speech and Language Processing, 2nd Edition

Foundations of Statistical Natural Language Processing

Natural Language Processing with Python

Graph-based Natural Language Processing and Information Retrieval

Natural Language Processing for Online Applications: Text retrieval, extraction and categorization. Second revised edition

Data Visualization

Visualizing Data: Exploring & Explaining Data with Processing Environment

The Visual Display of Quantitative Information

Data Mining

Mining of Massive Datasets

Data-Intensive Text Processing with MapReduce

Data Mining with R: Learning with Case Studies


The Art of R Programming: A Tour of Statistical Software Design

R Graphics Cookbook


Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

Learning Python, 5th Edition


Learning Spark: Lightning-fast big data analytics

Fast Data Processing with Spark

Big Data Tools

Hadoop: The Definitive Guide

Programming Pig

Practical Cassandra: A Developer's Approach

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