Data Science for Decision Makers: Using Analytics and Case Studies

by Erik L. Herman

Overview

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.

Product Details

ISBN-13:	9781501523311
Publisher:	Mercury Learning and Information
Publication date:	12/30/2024
Pages:	176
Product dimensions:	6.00(w) x 9.00(h) x 0.42(d)

About the Author

Erik L. Herman is an accomplished 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. Holding certifications from CompTIA, Confluent, IBM, and AWS, Erik consistently delivers high-quality training utilizing tools like Articulate, Camtasia, and Captivate. In his current capacity at PIL, LLC., Erik provides customized training solutions and adeptly manages client engagements. With a strong background at QueBIT Consulting and The Ironside Group, Erik demonstrates proficiency in overseeing technical training practices and crafting comprehensive learning materials.

Erik earned a Bachelor of Arts in English from George Mason Universityin 1995. As a dedicated instructor, Erik adeptly conveys intricate technical concepts while staying abreast of evolving technology trends, ensuring his students receive top-tier education and training.

Table of Contents

1: Understanding the Role of Data in Business Strategy
2: Foundations of Data Science
3: Data Visualization and Communication
4: Predictive Analytics and Machine Learning
5: Ethical Considerations in Data Science
6: Building a Data-Driven Culture
7: Case Studies in Data-Driven Success
8: The Future of Data Analytics
9: Getting Started with Data Analytics Development
Appendix A: Glossary of Key Terms
Appendix B: Ethical Considerations Framework
Appendix C: Python Code Files
Appendix D: Data Sets
Appendix E: 100 Luminaries in Data Science
Appendix F: Top 10 Data-Driven Decisions
Index