Data Science for Decision Makers Using Analytics and Case Studies

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Data Science for Decision Makers: Using Analytics and Case Studies
by Erik Herman
English | 2025 | ISBN: 1501523317 | 197 pages | True PDF EPUB | 20.55 MB

This book 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. It bridges 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 strategies that drive organizational growth. 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 foundation to navigate the complex landscape of data science.
FEATURES
Features real-world case studies from various industries, showing how data science techniques solve complex business challenges.
Offers implementation roadmaps that detail step-by-step processes for applying data science techniques in practice. These roadmaps act as guides for readers, providing clear instructions on collecting, analyzing, and interpreting data to facilitate informed decision-making.
Provides sample data sets, sample visualizations, and the supporting Python code, providing a firsthand approach to learning and application.



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