Table of contents : Chapter 1: Introduction to Prescriptive Analytics Chapter 2: Python Programming Fundamentals Chapter 3: Data Management and Preprocessing Chapter 4: Advanced Analytics with Python Chapter 5: Optimization Techniques Chapter 6: Simulation Modeling Chapter 7: Prescriptive Model Building Chapter 8: Decision Support Systems Chapter 9: Case Studies in Various Industries Chapter 10: Implementing Prescriptive Analytics Projects Chapter 11: Challenges and Best Practices Chapter 12: and Future of Prescriptive Analytics Additional Resources