Winning with Data Science

This book is a compelling and comprehensive guide to data science, emphasizing its real-world business applications and focusing on how to collaborate productively with data science teams.

Howard Steven Friedman, an adjunct professor at Columbia University, is a data scientist with decades of experience leading analytics projects in the private and public sectors. His previous books, including Ultimate Price (2020) and Measure of a Nation (2012), have been translated into many languages and featured on national media.

Akshay Swaminathan is a data scientist who works on strengthening health systems. He has more than forty peer-reviewed publications, and his work has been featured in the New York Times and STAT. Previously at Flatiron Health, he currently leads the data science team at Cerebral and is a Knight-Hennessy scholar at Stanford University School of Medicine.

Kim Sweeny, Principal Projects Officer, Institute for Sustainable Industries & Liveable Cities, Victoria University:
Friedman and Swaminathan provide a deep understanding of data science methodologies to managers, striking exactly the right balance of complexity and accessibility.

Paul W. Thurman, Columbia University Mailman School of Public Health, and author of MBA Fundamentals: Statistics:
A terrific work. Winning with Data Science expertly takes readers through daily 'data lives,' struggles with business problems, and the data science concepts that can help address them.

Jeff Chen, former chief data scientist of the U.S. Department of Commerce and coauthor of Data Science for Public Policy:
Winning with Data Science addresses a critical but often ignored obstacle in data science: the knowledge gap between business stakeholders and technical teams. This book cuts through data science buzzwords and empowers readers with the knowledge to cultivate thriving data cultures. Distinguishing itself from others, this book prioritizes effective communication and collaboration within the data science sphere, facilitating deeper discussions on intricate technical subjects.

Melvin (Skip) Olson, global head, Integrated Evidence Strategy and Innovation, Novartis Pharma AG:
Friedman and Swaminathan have taken the complex topic of data science and made it accessible to everyone. Their creative use of characters, situations, and meaningful examples serve to demystify how to think about the field, how to use data science to solve everyday problems, and how to interact with data scientists to ensure successful projects. An excellent read, even for people who (think they) know a little about the field of data science!

Steven Strogatz, Susan and Barton Winokur Distinguished Professor for the Public Understanding of Science and Mathematics, Cornell University, Cornell University, and author of Infinite Powers:
Winning with Data Science is refreshingly practical and clear. It’s also fun and empowering. After reading it, you’ll be more savvy about working with data teams and more valuable to your company. You may even become the envy of your colleagues (and competitors), who will wonder how you got so smart.

Armen Kherlopian, CEO and Partner, Covenant Venture Capital:
Engaging in data science requires diplomacy for maximal impact. Namely, understanding the norms and priorities of data professionals helps you to spot risks and opportunities. As experienced, trusted data science advisors, and by providing valuable examples, Friedman and Swaminathan open a new data-driven world that spans every single industry vertical.