Business Analytics Chapters
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Foreword. From Data Abundance to Decision Excellence in the Age of Generative AI
Chapter 1. Introduction to Business Analytics
Chapter 2: Business Analytics in End-to-End Processes and Workflows
Chapter 3. Data Foundations for Business Analytics
Chapter 4. Statistical and Probabilistic Foundations for Business
Chapter 5. The Four Pillars of Analytics: Descriptive to Prescriptive
Chapter 6. Data Visualization and Storytelling for Decision-Makers
Chapter 7. Working with Python in Cloud-Based Environments
Chapter 8. Data Preparation and Feature Engineering in Python
Chapter 9. Machine Learning for Business Analytics: Concepts and Workflow
Chapter 10. Classification Models for Business Decisions
Chapter 11. Regression Models for Forecasting and Estimation
Chapter 12. Clustering and Segmentation for Business Insight
Chapter 13: Using LLMs in Business Analytics
Chapter 14. Forecasting Methods for Business Planning
Chapter 16. Leveraging AI in Business Analytics: Augmentation vs. Automation
Chapter 17. AI Agents Concepts, Architectures, and Use Cases
Chapter 18. Integrating Analytics and AI into Strategy and Operations
Chapter 19. Real-World Case Studies Across Industries
Chapter 20. The Future of Business Analytics in AI-Driven Organizations