Books

These are some books written by members of the meetup.

Teaching Statistics: A Bag of Tricks

Andrew Gelman & Deborah Nolan

Learning R

Richard Cotton

Deep Learning with R

JJ Allaire

Doing Data Science

Cathy O'Neil and Rachel Schutt

Pandas for Everyone: Python Data Analysis

Daniel Y. Chen

ggplot2: Elegant Graphics for Data Analysis (Use R!)

Hadley Wickham

R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics

JD Long

A Computational Approach to Statistical Learning

Bryan Lewis and Michael Kane

Data Analysis Using Regression and Multilevel/Hierarchical Models

Andrew Gelman & Jennifer Hill

Parallel R

Q. Ethan McCallum

Data Analysis with R - Second Edition: A comprehensive guide to manipulating, analyzing, and visualizing data in R

Tony Fischetti

Service-Oriented Design with Ruby and Rails

Paul Dix

A Quantitative Tour of the Social Sciences

Andrew Gelman & Jeronimo Cortina

Getting Started with D3

Mike Dewar

Machine Learning for Hackers

Drew Conway & John Myles White

R Packages: Organize, Test, Document, and Share Your Code

Hadley Wichkam

Applied Predictive Modeling

Max Kuhn & Kjell Johnson

Advanced R: Second Edition

Hadley Wickham

A Computational Approach to Statistical Learning

Bryan Lewis and Michael Kane

Machine Learning for Email

Drew Conway & John Myles White

Forecasting: principles and practice

Rob Hyndman

Testing R Code

Richard Cotton

Python for Data Analysis

Wes McKinney

Introduction to Empirical Bayes: Examples from Baseball Statistics

David Robinson

Analyzing the Analyzers

Harlan Harris, Sean Patrick Murphy & Marck Vaisman

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

Hadley Wickham

Learning R: A Step-by-Step Function Guide to Data Analysis

Richard Cotton

R for Everyone

Jared P. Lander

Testing R Code

Richard Cotton

Feature Engineering and Selection: A Practical Approach for Predictive Models

Max Kuhn

Bayesian Data Analysis

Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari & Donald B. Rubin

Text Mining with R

Julia Silge & David Robinson

Data Science at the Command Line

Jeroen Janssens

Bandit Algorithms for Website Optimization

John Myles White

Bad Data

Q. Ethan McCallum

Red State, Blue State, Rich State, Poor State

Andrew Gelman