Data Science
Basic Resources
Recommended Books for Data Science available in the Five Colleges
Introductory Books
- An Introduction to R by William N. Venables; David M. SmithPublication Date: 2018Written by the developers of R.
- Hands-on Programming with R, by Garrett GrolemundLink to book in library collection. Can request from Amherst College.
More Advanced Books
- Using R and RStudio for Data Management, Statistical Analysis and Graphics by Nicholas J. Horton; Ken KleinmanISBN: 9781482237368Publication Date: 2015-03-10Not 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 GandrudCall Number: Q180.55.S7 G36 2015ISBN: 9781498715379Publication Date: 2015-06-11Available in library collecton.
- The R Inferno by Patrick BurnsCall Number: QA276.45.R3 B876 2011ISBN: 9781471046520Publication Date: 01/12/2012Available in library collection.
- Data Computing: An introduction to Wrangling and Visualization with R by Daniel KaplanISBN: 9780983965848Introductory level, requires no prior knowledge. Available in the library collection.
- Statistical Modeling by Daniel T. KaplanISBN: 9780983965879Publication Date: 2011-01-01Available in the library collection.
- Think Python by Allen B. DowneyISBN: 9781491939369Publication Date: 2015-12-28First edition available at Hampshire College or download second edition from Green Tea Press.
- Data Science from Scratch by Joel GrusCall Number: Electronic BookISBN: 9781491901427Publication Date: 2015-04-30Introduces both Python and Data Science though it doesn't treat any topic at great depth.
- Coding the Matrix by Philip N. KleinCall Number: QA184.2 .K538 2013ISBN: 9780615880990Publication Date: 2013-09-03Learn Python through linear algebra.
- Think Bayes by Allen B. DowneyISBN: 9781449370787Publication Date: 2013-10-04You 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 GrusCall Number: Electronic BookISBN: 9781491901427Publication Date: 2015-04-30
- An Introduction to Statistical Learning by Gareth James; Trevor Hastie; Robert Tibshirani; Daniela WittenCall Number: QA276 .I585 2013ISBN: 9781461471370Publication Date: 2015-12-14
- Statistical Modeling by Daniel T. KaplanISBN: 9780983965879Publication Date: 2011-01-01Available in the library collection.
- Data Computing: An introduction to Wrangling and Visualization with R by Daniel KaplanISBN: 9780983965848Introductory level, requires no prior knowledge. Available in the library collection.
- Think Bayes by Allen B. DowneyISBN: 9781449370787Publication Date: 2013-10-04You can use this book to learn both Python and Bayesian Analysis. You can download a copy from the author's Green Tree Press.
Python Resources Websites
- Last Updated: Aug 8, 2024 2:59 PM
- URL: https://guides.mtholyoke.edu/datascience
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Subjects: Computer Science, Data Science, Mathematics, Statistics