Data Science for Decision Makers

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A01=Erik Herman
Author_Erik Herman
Category=UNC
Category=UNF
data ethics
Data Science
data visualization
eq_bestseller
eq_computing
eq_isMigrated=1
eq_nobargain
eq_non-fiction
exploratory data analysis
predictive modeling

Product details

  • ISBN 9781501523311
  • Weight: 500g
  • Publication Date: 01 Jan 2025
  • Publisher: De Gruyter
  • Publication City/Country: US
  • Product Form: Paperback
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Data Science for Decision Makers is an essential guide for executives, managers, entrepreneurs, and anyone seeking to harness the power of data to drive business success. In today's fast-paced and increasingly digital world, the ability to make informed decisions based on data-driven insights is vital. This book serves as a bridge between the complex world of data science and the strategic decision-making process, providing readers with the knowledge and tools they need to leverage data effectively.

With a clear focus on practical application, this book demystifies key concepts in data science, from data collection and analysis to predictive modeling and visualization. Via real-world examples, case studies, and actionable insights, readers will learn how to extract insights from data and translate them into actionable strategies that drive organizational growth.

Written in a reader-friendly manner, this book caters to both novice and experienced professionals alike. Whether you're a seasoned executive looking to sharpen your strategic acumen or a manager seeking to enhance your team's data literacy, this essential reference provides the necessary foundation to navigate the complex landscape of data science with confidence.

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