Predictive Analytics in Finance: A Practical Guide to Forecasting Risk, Returns, and Customer Behavior With Real-World Data Models

Jonathan Keller

Transform raw data into highly accurate predictive models to conquer market risk and master financial forecasting. Perfect for your morning commute, this high-energy guide empowers ambitious professionals to replace spreadsheet guesswork with...

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Opening Credits

1/13/2026

Chapter 1: From Reports to Foresight Why Predictive Analytics Matters in Finance

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Chapter 2: Framing the Right Questions Turning Business Problems into Prediction Problems

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Chapter 3: Financial Data Foundations What You Have and What You Need

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Chapter 4: Designing Predictors Feature Engineering for Credit, Markets, and Insurance

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Chapter 5: Core Predictive Models Made Intuitive Regression, Classification, and Survival

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Chapter 6: Forecasting Over Time Time Series Models for Revenue, Cash Flow, and Markets

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Chapter 7: Building and Testing Models Getting Reliable Results You Can Trust

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Chapter 8: From Scores to Decisions Interpreting Models and Acting on Insights

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Chapter 9: Scaling Impact Portfolio, Risk, and Customer Analytics in Practice

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Chapter 10: Owning the Future Governance, Regulation, and Your Predictive Analytics Roadmap

1/13/2026

Closing Credits

1/13/2026