Winning With Data Science - A Handbook for Business Leaders

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.

List of 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

About the author

Howard Steven Friedman and Akshay Swaminathan

Summary

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.

Product details

• Authors: Howard Steven Friedman, Howard Steven Swaminathan Friedman, Akshay Swaminathan
• Publisher: Columbia University Press
• Languages: English
• Product format: Hardback
• Released: 12.12.2023
• EAN: 9780231206860
• ISBN: 978-0-231-20686-0
• No. of pages: 272
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > Application software; Social sciences, law, business > Business > Management; Product Design, BUSINESS & ECONOMICS / Project Management, DESIGN / General, BUSINESS & ECONOMICS / Management, Management: leadership & motivation, Project management, Management: leadership and motivation, Management decision making, Information technology: general issues, Business applications, COMPUTERS / Data Science / Data Analytics, Computer applications in industry and technology, Data capture and analysis, Data Capture & Analysis, Computer aided manufacture (CAM)