Statistics for Risk Modeling (SRM) Recorded Lectures

This course is meticulously crafted to prepare candidates for the Statistics for Risk Modeling (SRM) Exam, which evaluates your ability to utilise various statistical methods and models to analyse data effectively.

Key Topics:

• Regression and Time Series Models: Techniques for predicting and analyzing trends over time.
• Principal Components Analysis: Methodology for reducing dimensionality in data.
• Decision Trees: Tools for making decisions based on data characteristics.
• Cluster Analysis: Techniques for classifying and grouping data.
• Model Selection and Validation: Processes for choosing the best models and ensuring their accuracy and reliability.

This course ensures that you are well-prepared to demonstrate your ability to apply these statistical methods and models, pivotal for successful risk modelling and actuarial work.