*Programming Collective Intelligence*by Toby Segaran (O'Reilly, 2007)*Stat Labs: Mathematical Statistics Through Applications*by Deborah Nolan and Terry Speed (Springer, 2000)- Subversion, a version control system (here is an official, free version of the manual)
*Introduction to Data Technologies*by Paul Murrell (CRC Press, 2009)*Practical Data Science with R*by Nina Zumel and John Mount (Manning, 2014)*Computational Statistics*by James E. Gentle (Springer, 2009)*Statistical Methods for Environmental Epidemiology with R*by Roger D. Peng and Francesca Dominici (Springer, 2008)*Data Mining with Rattle and R*by Graham Williams (Springer, 2011)*Machine Learning with R*by Brett Lantz (Packt, 2013)*Hadoop: The Definitive Guide, 3rd Edition*by Tom White (O'Reilly, 2012)*Thinking with Data*by Max Shron (O'Reilly, 2014)*Parallel R*by Q. Ethan McCallum and Stephen Weston (O'Reilly, 2011)*Machine Learning for Hackers*by Drew Conway and John Myles White (O'Reilly, 2012)*Getting Started with RStudio*by John Verzani (O'Reilly, 2011)*Bad Data Handbook*by Q. Ethan McCallum (O'Reilly, 2012)*Agile Data Science*by Russell Jurney (O'Reilly, 2013)*Doing Data Science*by Cathy O'Neil and Rachel Schutt (O'Reilly, 2013)*Analyzing Baseball Data with R*by Max Marchi and Jim Albert (CRC Press, 2014)*Dynamic Documents with R and knitr*by Yihui Xie (CRC Press, 2014)*Reproducible Research with R and RStudio*by Christopher Gandrud (CRC Press, 2014)*Statistical Methods in Bioinformatics: An Introduction, 2nd Edition*by Warren J. Ewens and Gregory R. Grant (Springer, 2005)*A Guide to QTL Mapping with R/qtl*by Karl W. Broman and Saunak Sen (Springer, 2009)*The Elements of Statistical Learning*by Trevor Hastie, Robert Tibshirani, and Jerome Friedman (Springer, 2009)*Introductory Time Series with R*by Andrew V. Metcalfe and Paul S.P. Cowpertwait (Springer, 2009)*An Introduction to Applied Multivariate Analysis with R*by Brian Everitt and Torsten Hothorn (Springer, 2011)*Forest Analytics with R*by Andrew P. Robinson and Jeff D. Hamann (Springer, 2011)*Applied Spatial Data Analysis with R*by Roger S. Bivand, Edzer Pebesma, and Virgilio Gómez-Rubio (Springer, 2013)*An Introduction to Statistical Learning*by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani (Springer, 2013)*Time Series Analysis and Its Applications, 3rd Edition*by Robert H. Shumway and David S. Stoffer (Springer, 2011)*Linear Mixed-Effects Models Using R*by Andrzej Gałecki and Tomasz Burzykowski (Springer, 2013)*Displaying Time Series, Spatial, and Space-Time Data with R*by Oscar Perpiñán Lamigueiro (CRC Press, 2014)*Time Series Analysis, 2nd Edition*by Jonathan D. Cryer and Kung-Sik Chan (Springer, 2008)