Description
Book SynopsisThis 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.
Trade ReviewEngaging 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. -- Armen Kherlopian, CEO and Partner, Covenant Venture Capital
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. -- Steven Strogatz, Susan and Barton Winokur Distinguished Professor for the Public Understanding of Science and Mathematics, Cornell University, and author of
Infinite PowersFriedman 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! -- Melvin (Skip) Olson, global head, Integrated Evidence Strategy and Innovation, Novartis Pharma AG
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. -- Jeff Chen, former chief data scientist of the U.S. Department of Commerce and coauthor of
Data Science for Public PolicyA 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. -- Paul W. Thurman, Columbia University Mailman School of Public Health, and author of
MBA Fundamentals: StatisticsFriedman and Swaminathan provide a deep understanding of data science methodologies to managers, striking exactly the right balance of complexity and accessibility. -- Kim Sweeny, Principal Projects Officer, Institute for Sustainable Industries & Liveable Cities, Victoria University
In today's digital age, data is king. And for business leaders, extracting insights and using them to drive informed decisions is more crucial than ever. . . . If [you] want to speak the language of data and harness its potential,
Winning with Data Science is a must-read. -- Ken Kuang, entrepreneur, and Founder, Torrey Hills Technologies
By the end of the book, you'll feel like a pro in talking about data, even if you're not a tech expert. -- Nirali Mehta, Founder and CEO, PHARMA-STATS
Winning with Data Science tackles the complex topic of data science and simplifies it to make it accessible to anyone, enabling a more data-driven culture at your organization. -- David Mathison, CEO, Chief AI Officer Summit, CDO Club, and CDO Summit
Table of ContentsAcknowledgments
Introduction
1. Tools of the Trade
2. The Data Science Project
3. Data Science Foundations
4. Making Decisions with Data
5. Clustering, Segmenting, and Cutting Through the Noise
6. Building Your First Model
7. Tools for Machine Learning
8. Pulling It Together
9. Ethics
Conclusion
Notes
Index
