Whether you are a newly minted MBA or a project manager at a Fortune 500 company, data science will play a major role in your career. Knowing how to communicate effectively with data scientists in order to obtain maximum value from their expertise is essential. 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.
Taking an engaging narrative approach, Winning with Data Science covers the fundamental concepts without getting bogged down in complex equations or programming languages. It provides clear explanations of key terms, tools, and techniques, illustrated through practical examples. The book follows the stories of Kamala and Steve, two professionals who need to collaborate with data science teams to achieve their business goals. Howard Steven Friedman and Akshay Swaminathan walk readers through each step of managing a data science project, from understanding the different roles on a data science team to identifying the right software. They equip readers with critical questions to ask data analysts, statisticians, data scientists, and other technical experts to avoid wasting time and money. Winning with Data Science is a must-read for anyone who works with data science teams or is interested in the practical side of the subject.
Whether you are a newly minted MBA or a project manager at a Fortune 500 company, data science will play a major role in your career. Knowing how to communicate effectively with data scientists in order to obtain maximum value from their expertise is essential. 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.
Taking an engaging narrative approach, Winning with Data Science covers the fundamental concepts without getting bogged down in complex equations or programming languages. It provides clear explanations of key terms, tools, and techniques, illustrated through practical examples. The book follows the stories of Kamala and Steve, two professionals who need to collaborate with data science teams to achieve their business goals. Howard Steven Friedman and Akshay Swaminathan walk readers through each step of managing a data science project, from understanding the different roles on a data science team to identifying the right software. They equip readers with critical questions to ask data analysts, statisticians, data scientists, and other technical experts to avoid wasting time and money. Winning with Data Science is a must-read for anyone who works with data science teams or is interested in the practical side of the subject.
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.
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.
*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 Powers*
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!
*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 Policy*
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.
*Paul W. Thurman, Columbia University Mailman School of Public
Health, and author of MBA Fundamentals: Statistics*
Friedman 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*
Impressively informative, exceptionally well written, and
thoroughly 'reader friendly' in both organization and presentation,
‘Winning with Data Science: A Handbook for Business Leaders’ is
essential reading for anyone who works with data science teams or
is interested in the practical side of the subject.
*Midwest Book Review*
A top 15 'best data science book.'
*365 Data Science*
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