Data Science for Decision Makers
Using Analytics and Case Studies
Publisher:Mercury Learning and Information
By: Erik Herman
Paid access
|Jan 2025
Table of contents
Frontmatter
Contents
Preface
Chapter 1: Understanding the Role of Data in Business Strategy
Chapter 2: Foundations of Data Science
Chapter 3: Data Visualization and Communication
Chapter 4: Predictive Analytics and Machine Learning
Chapter 5: Ethical Considerations in Data Science
Chapter 6: Building a Data-Driven Culture
Chapter 7: Case Studies in Data-Driven Success
Chapter 8: The Future of Data Analytics
Chapter 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: Datasets
Appendix E: 100 Luminaries in Data Analysis
Appendix F: Top 10 Data-Driven Decisions
Index
19 chapters available
PDF ISBN: 978-1-5015-2068-6 | E-Pub ISBN: 978-1-5015-2064-8 | Paperback ISBN: 978-1-5015-2331-1 | DOI: 10.1515/9781501520686
Publisher: Mercury Learning and Information
Copyright owner: © 2025 Walter de Gruyter GmbH, Berlin/Boston
Publication date: 2025
Language: English
Pages: 240
Keywords:
