Exam 3: Predictive Modeling – Methods and Techniques

This course covers the concepts, methods and tools used for statistical analyses, predictive modeling and data analytics with applications for P&C insurance applications. The focus of this course is on advanced tools using various multivariate regression techniques, statistical modeling, machine learning and practical applications.

  • Identifying the business problem
  • Designing the model
  • Preparing the data
  • Selecting features
  • How to choose a model
  • Interpreting the output
  • Sharing the output

Detailed Learning Objectives for Predictive Modeling – Methods and Techniques

CSPA Exam 3 Study Kit for purchase

Sample Exam

Data Set for Frees, Meyers, Chapter 7

Study Notes

Study Note: Model Validation and Holdout Data

Study Note: Truncation and Censoring

Study Note: Credibility

How Can I Get Started?

Take these steps to start on your path towards earning credentials from The CAS Institute.

Other Credentials

Certified Specialist in Predictive Analytics (CSPA)

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Catastrophe Risk Management

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