This Quantitative Analysis course is designed to provide a strong statistical and mathematical foundation for candidates preparing for the FRM Part 1 exam and for professionals working in financial risk management. The course follows FRM Part 1 Book 2 and focuses on probability theory, statistics, and data-driven decision making.

Learners begin with the fundamentals of probability, random variables, and common univariate distributions, building the core concepts required for financial modeling and risk measurement. The course then covers sample moments, estimation techniques, and descriptive statistics used to summarize and analyze financial data.

A key component of the course is hypothesis testing, where learners study confidence intervals, statistical inference, and decision rules used in finance and risk management applications.

In advanced sections, the course introduces machine learning and prediction methods, explaining how modern algorithms can be applied to forecasting, classification, and risk modeling. These topics prepare learners for the increasing use of data science in financial risk management.

This course is ideal for FRM and CFA candidates, quantitative analysts, finance students, and professionals seeking a solid foundation in probability, statistics, and quantitative methods for risk management.