March 2027
Beginner to intermediate
350 pages
1h 19m
English
Content preview from Simulation Models for Data Science
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Brief Table of Contents (Not Yet Final)
Chapter 1. Why Use Simulation When You Have Data?
Chapter 2. Building a Simulation Mindset: From Static Analysis to Dynamic Modeling
Chapter 3. From Data to Distributions (unavailable)
Chapter 4. How Do I Model Risk and Uncertainty in Decision Making? (unavailable)
Chapter 5. How Do I Find and Fix Process Bottlenecks? (unavailable)
Chapter 6. How Do I Predict System Behavior with Feedback Effects? (unavailable)
Chapter 7. How Do I Model Market Dynamics and Competition? (unavailable)
Chapter 8. How Do I Create Digital Twins That Connect to the Real World? (unavailable)
Chapter 9. How Do I Deploy and Scale Simulations in Production? (unavailable)
Chapter 10. How Do I Ensure My Simulations are Trustworthy? (unavailable)
Chapter 11. How Do I Drive Adoption and Action from Simulation Insights? (unavailable)
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