Winning with Data Science : : A Handbook for Business Leaders / / Akshay Swaminathan, Howard Steven Friedman.

• Superior document: Title is part of eBook package: De Gruyter Columbia University Press Complete eBook-Package 2024
• VerfasserIn: Friedman, Howard Steven,; Swaminathan, Akshay,
• Place / Publishing House: New York, NY : : Columbia University Press, , [2024]; 2024
• Year of Publication: 2024
• Language: English
• Physical Description: 1 online resource :; 13 figures
• Other title: Frontmatter --; CONTENTS --; Acknowledgments --; 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
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9780231556699; 9783110749687
• DOI: 10.7312/frie20686
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: Akshay Swaminathan, Howard Steven Friedman.

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.