LibGuides: Data Science: Books & Web Resources


Library Research Guides

Recommended Books for Data Science available in the Five Colleges

Hands-on Programming with R, by Garrett Grolemund
Link to book in library collection. Can request from Amherst College.

Using R and RStudio for Data Management, Statistical Analysis and Graphics by Nicholas J. Horton; Ken Kleinman
ISBN: 9781482237368
Publication Date: 2015-03-10
Not suitable for learning R but among the best reference books for R. Available in library collection.
Reproducible Research with R and R Studio, Second Edition by Christopher Gandrud
Call Number: Q180.55.S7 G36 2015
ISBN: 9781498715379
Publication Date: 2015-06-11
Available in library collecton.
The R Inferno by Patrick Burns
Call Number: QA276.45.R3 B876 2011
ISBN: 9781471046520
Publication Date: 01/12/2012
Available in library collection.

Data Computing: An introduction to Wrangling and Visualization with R by Daniel Kaplan
ISBN: 9780983965848
Introductory level, requires no prior knowledge. Available in the library collection.
Statistical Modeling by Daniel T. Kaplan
ISBN: 9780983965879
Publication Date: 2011-01-01
Available in the library collection.

Think Python by Allen B. Downey
ISBN: 9781491939369
Publication Date: 2015-12-28
First edition available at Hampshire College or download second edition from Green Tea Press.
Data Science from Scratch by Joel Grus
Call Number: Electronic Book
ISBN: 9781491901427
Publication Date: 2015-04-30
Introduces both Python and Data Science though it doesn't treat any topic at great depth.
Coding the Matrix by Philip N. Klein
Call Number: QA184.2 .K538 2013
ISBN: 9780615880990
Publication Date: 2013-09-03
Learn Python through linear algebra.
Think Bayes by Allen B. Downey
ISBN: 9781449370787
Publication Date: 2013-10-04
You can use this book to learn both Python and Bayesian Analysis. You can download a copy from the author's Green Tree Press.

Data Science from Scratch by Joel Grus
Call Number: Electronic Book
ISBN: 9781491901427
Publication Date: 2015-04-30
An Introduction to Statistical Learning by Gareth James; Trevor Hastie; Robert Tibshirani; Daniela Witten
Call Number: QA276 .I585 2013
ISBN: 9781461471370
Publication Date: 2015-12-14
Statistical Modeling by Daniel T. Kaplan
ISBN: 9780983965879
Publication Date: 2011-01-01
Available in the library collection.
Data Computing: An introduction to Wrangling and Visualization with R by Daniel Kaplan
ISBN: 9780983965848
Introductory level, requires no prior knowledge. Available in the library collection.
Think Bayes by Allen B. Downey
ISBN: 9781449370787
Publication Date: 2013-10-04
You can use this book to learn both Python and Bayesian Analysis. You can download a copy from the author's Green Tree Press.