"This clean and fun book covers a wide range of topics on statistical communication, programming, and modeling in a way that should be a useful supplement to any statistics course or self-learning program. I absolutely love this book!" - Andrew Gelman, Columbia University
"An excellent book. Communication and reproducibility are of increasing concern in statistics, and this book covers these topics and more in a practical, appealing, and truly unique way." - Daniela Witten, University of Washington
"Many data science texts tell you how to perform perfunctory calculations. Instead, Telling Stories with Data tells you how to engage in the mindset and process of analysis. By arming students with the computational, statistical and philosophical skills needed to use data in sense-making and story-telling, this book stands out from the pack as uniquely actionable and empowering." - Emily Riederer, Capital One
"This is not another statistics book. It is much better than that. It is a book about doing quantitative research, about scientific justification, about quality control, about communication and epistemic humility. It's a valuable supplement to any methods curriculum, and useful for self-learners as well." - Richard McElreath, Max Planck Institute for Evolutionary Anthropology
"Telling Stories with Data is a thoughtful guide to using data to learn and affect positive change. The book includes each stage of the process and can serve as a long-lasting companion to many data scientists and future data story tellers." - Christopher Peters, Zapier
A clever career choice is to pick a field where your skills are complementary with a growing resource. In the coming decades, those who are adept in analysing data will flourish. That means crunching statistics and telling compelling stories. Rohan Alexanders book will help you do both. - Andrew Leigh, Member of the Australian Parliament and author of Randomistas: How Radical Researchers Are Changing Our World
"Every data analyst has to tell stories with data, and yet traditional textbooks focus on statistical methods alone. Telling Stories with Data teaches the entire data science workflow, including data acquisition, communication, and reproducibility. I highly recommend this unique book!" - Kosuke Imai, Harvard University
"This is an extraordinary, wonderful, book, full of wise advice for anyone starting in data science. Intermixing concepts and code means the ideas are immediately made concrete, and the emphasis on reproducible workflows brings a welcome dose of rigor to a rapidly developing field." - David Spiegelhalter, The University of Cambridge
"The book will be of the most benefit to readers already familiar with statistics and R who wish to learn best practices and new tools in the modern social data science workflow, expand their knowledge of the vast universe of useful R packages, and be pointed toward interesting further reading. I wholeheartedly recommend this ambitious book to readers who find themselves in these categories." - Piotr Fryzlewicz, London School of Economics, UK, The American Statistician, April 2024
"The outstanding aspect of the book is its inclusion of comprehensive code recipes that readers can readily replicate and adapt to their own projects, thereby empowering individuals to learn and apply data science practices. The authors commitment to reproducibility is commendable, as evidenced by detailed instructions on data acquisition, accompanied by code, and the accessibility of the books source code. This accessibility makes it an excellent resource for readers interested in the data science applications in social science." - Emi Tanaka, Biological Data Science Institute, Australian National University, Canberra, Australia
