The Elements of Data Analytic Style
A guide for people who want to analyze data. This book is focused on the details of data analysis that sometimes fall through the cracks in traditional statistics classes and textbooks.
Tag(s): Data Science
Publication date: 03 Mar 2015
ISBN-10: n/a
ISBN-13: n/a
Paperback: n/a
Views: 9,074
The Elements of Data Analytic Style
A guide for people who want to analyze data. This book is focused on the details of data analysis that sometimes fall through the cracks in traditional statistics classes and textbooks.
Publication date: 03 Mar 2015
ISBN-10: n/a
ISBN-13: n/a
Paperback: n/a
Views: 9,074
Document Type: Book
Publisher: Lulu.com
License: n/a
Post time: 13 Dec 2016 05:00:00
Jeffrey Leek wrote:Data analysis is at least as much art as it is science. This book is focused on the details of data analysis that sometimes fall through the cracks in traditional statistics classes and textbooks. It is based in part on the authors blog posts, lecture materials, and tutorials such as:
- 10 things statistics taught us about big data analysis
- The Leek Group Guide to R packages
- How to share data with a statistician
The author is one of the co-developers of the Johns Hopkins Specialization in Data Science the largest data science program in the world that has enrolled more than 1.76 million people. The book is useful as a companion to introductory courses in data science or data analysis. It is also a useful reference tool for people tasked with reading and critiquing data analyses.
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About The Author(s)
Jeff Leek is Associate Professor of Biostatistics and Oncology at Johns Hopkins Bloomberg School of Public Health and co-director of the Johns Hopkins Specialization in Data Science. He writes for the blog Simply Statistics and can be found on Twitter @jtleek, @simplystats.
Jeff Leek is Associate Professor of Biostatistics and Oncology at Johns Hopkins Bloomberg School of Public Health and co-director of the Johns Hopkins Specialization in Data Science. He writes for the blog Simply Statistics and can be found on Twitter @jtleek, @simplystats.