Data Science for Decision Makers: Using Analytics and Case Studies
Author: Erik L. Herman (Author)
Publisher finelybook 出版社:Mercury Learning and Information
Edition 版本: N/A
Publication Date 出版日期: 2024-12-30
Language 语言: English
Print Length 页数: 176 pages
ISBN-10: 1501523317
ISBN-13: 9781501523311
Book Description
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.
About the Author
Erik L. Herman is a Technical Trainer, Instructional Designer, and Content Developer with expertise spanning technical training, e-learning, and content development across diverse domains such as cloud computing, data analytics, and fraud detection.
