Roger D. Peng
Roger D. Peng is a Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health where his research focuses on the development of statistical methods for addressing environmental health problems. He is also a co-founder of the Johns Hopkins Data Science Specialization, the Simply Statistics blog where he writes about statistics for the general public, and the Not So Standard Deviations podcast with Hilary Parker. He is a Fellow of the American Statistical Association and is the recipient of the 2016 Mortimer Spiegelman Award from the American Public Health Association, which honors a statistician who has made outstanding contributions to public health.
Books by Roger D. Peng
Interviews with Roger D. Peng
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1
Statistical Evidence: A Likelihood Paradigm
by Richard Royall -
2
Visualize This: The FlowingData Guide to Design, Visualization, and Statistics
by Nathan Yau -
3
Storytelling with Data: A Data Visualization Guide for Business Professionals
by Cole Nussbaumer Knaflic -
4
An Introduction to Statistical Learning: with Applications in R
by Daniela Witten, Gareth James, Robert Tibshirani & Trevor Hastie -
5
Design Thinking: Understanding How Designers Think and Work
by Nigel Cross
The best books on Data Science, recommended by Roger D. Peng
The best books on Data Science, recommended by Roger D. Peng
From complex techniques only used by academic statisticians, data science has risen to extreme popularity in only a few years. Roger D. Peng, Professor of Biostatistics at Johns Hopkins University and founder of one of the largest data science online courses, helps us understand this discipline and recommends the five best books to delve into it.
