Books by Nigel Cross
“It gives a mental model to describe what happens in the data analysis process. It is about design in general but there’s a lot that we can borrow from that world, to adapt those concepts to our needs.” Read more...
The best books on Data Science
Roger D. Peng, Scientist
Interviews where books by Nigel Cross were recommended
-
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.
