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Roger D. Peng

Roger D. Peng is a Professor of Statistics and Data Sciences at the University of Texas, Austin. Previously, he was Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. His research focuses on the development of statistical methods for addressing environmental health problems and on developing tools for doing better data analysis. He is the author of the popular book R Programming for Data Science and 10 other books on data science and statistics. He is also the co-creator of the Johns Hopkins Data Science Specialization, the Simply Statistics blog where he writes about statistics for the public, the Not So Standard Deviations podcast with Hilary Parker, and The Effort Report podcast with Elizabeth Matsui. Roger is a Fellow of the American Statistical Association and is the recipient of the Mortimer Spiegelman Award from the American Public Health Association, which honors a statistician who has made outstanding contributions to public health. He can be found on Twitter and GitHub at @rdpeng.

Frontmatter

Episode 16

An Interview with Roger D. Peng

Published Books

R Programming for Data Science
R Programming for Data Science
Roger D. Peng
The Art of Data Science
The Art of Data Science
Roger D. Peng and Elizabeth Matsui
Exploratory Data Analysis with R
Exploratory Data Analysis with R
Roger D. Peng
Executive Data Science
Executive Data Science
Brian Caffo, Roger D. Peng and Jeffrey Leek
Report Writing for Data Science in R
Report Writing for Data Science in R
Roger D. Peng
Advanced Statistical Computing
Advanced Statistical Computing
Roger D. Peng
The Data Science Salon
The Data Science Salon
Roger D. Peng, Elizabeth Matsui and Corinne Keet
Conversations On Data Science
Conversations On Data Science
Roger D. Peng and Hilary Parker
Mastering Software Development in R
Mastering Software Development in R
Roger D. Peng, Sean Kross and Brooke Anderson
Essays on Data Analysis
Essays on Data Analysis
Roger D. Peng
Tidyverse Skills for Data Science in R
Tidyverse Skills for Data Science in R
Carrie Wright, Shannon Ellis, Stephanie Hicks and Roger D. Peng

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