Statistics 245
Data Analysis
The data science landscape:
David Donoho,
50 Years of Data Science
Wickham and Grolemund,
R for Data Science
Winston Chang,
R Graphics Cookbook
Peng and Matsui,
The Art of Data Science
Peng,
Exploratory Data Analysis with R
Peng,
R Programming for Data Science
Irizarry and Love,
Data Analysis for the Life Sciences with R
Ismay and Kim,
ModernDive, An Introduction to Statistical and Data Sciences via R
Healy,
Data Visualization for Social Science
Freeman and Ross,
Technical Foundations of Informatics
Additional suggestions:
William Chen,
23 Free Data Science Books
For perspective:
CORE, The Economy,
modern economics in the context of social science
R for Data Science
,
Wickham and Grolemund
O'Reilly, 2017
Hadley Wickham and Garrett Grolemund, R for Data Science
Hadley Wickham and Garrett Grolemund, R for Data Science [online book]
Hadley Wickham and Garrett Grolemund, R for Data Science [github]
Hadley Wickham and Garrett Grolemund, R for Data Science (Amazon.com)
Hadley Wickham, tidyverse
Hadley Wickham, The tidyverse style guide
Hadley Wickham, ggplot2 reference
Hadley Wickham and Romain Francois, vignette, Introduction to dplyr
R package tidyverse
R Graphics Cookbook
,
Winston Chang,
O'Reilly
Winston Chang, R Graphics Cookbook
Winston Chang, R Graphics Cookbook [online book]
Winston Chang, R Graphics Cookbook [pdf]
The Art of Data Science
,
Roger Peng and Elizabeth Matsui,
leanpub
Roger Peng and Elizabeth Matsui, The Art of Data Science
Roger Peng and Elizabeth Matsui, The Art of Data Science [online book]
Roger Peng and Elizabeth Matsui, The Art of Data Science [leanpub]
Exploratory Data Analysis with R
,
Roger Peng,
leanpub
Roger Peng, Exploratory Data Analysis with R
Roger Peng, Exploratory Data Analysis with R [online book]
Roger Peng, Exploratory Data Analysis with R [leanpub]
R Programming for Data Science
,
Roger Peng,
leanpub
Roger Peng, R Programming for Data Science
Roger Peng, R Programming for Data Science [online book]
Roger Peng, R Programming for Data Science [leanpub]
Data Analysis for the Life Sciences with R
,
Irizarry and Love
CRC Press, 2017
Rafael Irizarry and Michael Love, Data Analysis for the Life Sciences with R
Rafael Irizarry and Michael Love, Harvard PH525x series - Biomedical Data Science [online book]
Rafael Irizarry and Michael Love, Data Analysis for the Life Sciences with R [CRC Press]
Rafael Irizarry and Michael Love, Data Analysis for the Life Sciences with R [leanpub]
Rafael Irizarry and Michael Love, Data Analysis for the Life Sciences with R [github]
Rafael Irizarry and Michael Love, Data Analysis for the Life Sciences with R (Amazon.com)
R package rafalib
Stephanie C. Hicks, Rafael A. Irizarry, A Guide to Teaching Data Science, arXiv:1612.07140
Stephanie C. Hicks, Rafael A. Irizarry, Bio260 Introduction to Data Science, 2016 Harvard T.H. Chan School of Public Health
Jeff Leek, The levels of data science class, Simply Statistics
Chester Ismay and Albert Kim, ModernDive, An Introduction to Statistical and Data Sciences via R
Chester Ismay and Albert Y. Kim, 2017, ModernDive, An Introduction to Statistical and Data Sciences via R [online book]
Chester Ismay and Albert Y. Kim, 2017, Inference Examples, coggle.it [online book]
Chester Ismay, 2016, Getting used to R, RStudio, and R Markdown [online book]
Bret Larget, U Wisconsin, R ggplot2 Examples
Bret Larget, U Wisconsin, R Bootstrap Examples
Data Visualization for Social Science
,
Keiran Healy, Data Visualization for Social Science, A Practical Introduction with R and ggplot2
Keiran Healy, Data Visualization for Social Science, A Practical Introduction with R and ggplot2 [online book]
Thoughtful approach to workflow by Kieran Healy
code and data
code and data (github)
plain person's guide ...
Technical Foundations of Informatics
,
Michael Freeman and Joel Ross, Technical Foundations of Informatics
Michael Freeman and Joel Ross, 2017, Technical Foundations of Informatics [online book]
cparrish@sewanee.edu