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

Study Materials

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)

Analytics professionals can earn our new credential to demonstrate their expertise

Catastrophe Risk Management

A credential for cat risk management specialists is currently under development