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About the Book
What is life like as a data scientist? In academia? In industry? What is the role of automation in data science? What is evidence-based data analysis? And what is RCatLadies?
These questions, and more, are discussed in Conversations on Data Science by Roger Peng and Hilary Parker, co-hosts of the popular Not So Standard Deviations podcast. This book collects many of their discussions from the podcast and distills them into a readable format. The conversational style of Roger and Hilary gives readers a behind-the-scenes look into how data science is done in real life. As new episodes of the podcast are created, this book is updated to add new topics of discussion. Readers of the book are entitled to free updates in the future as the book evolves.
Versions are available in PDF, ePub, and MOBI, and the book can be read through the Leanpub App.
About the Authors
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.
Hilary Parker is a Data Scientist at Stitch Fix and co-host of the Not So Standard Deviations podcast. She is an R and statistics enthusiast determined to bring rigor to analysis wherever she goes. At Stitch Fix she works on teasing apart correlation from causation, with a strong dose of reproducibility. Formerly a Senior Data Analyst at Etsy, she received a PhD in Biostatistics from the Johns Hopkins Bloomberg School of Public Health.