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Winning with Data Science - A Handbook for Business Leaders Loot Price: R620
Discovery Miles 6 200
Winning with Data Science - A Handbook for Business Leaders: Howard Steven Friedman, Akshay Swaminathan

Winning with Data Science - A Handbook for Business Leaders

Howard Steven Friedman, Akshay Swaminathan

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Loot Price R620 Discovery Miles 6 200 | Repayment Terms: R58 pm x 12*

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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.

General

Imprint: Columbia University Press
Country of origin: United States
Release date: 2024
Authors: Howard Steven Friedman • Akshay Swaminathan
Dimensions: 216 x 140mm (L x W)
Pages: 272
ISBN-13: 978-0-231-20686-0
Categories: Books
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LSN: 0-231-20686-0
Barcode: 9780231206860

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