is a foundational pillar of the CFA Institute's curriculum, focusing on the use of mathematical and statistical tools to drive investment decision-making. It provides a disciplined framework for identifying patterns in financial data, quantifying risk, and developing strategies to outperform traditional approaches. Core Learning Modules

: Techniques for organizing and visualizing data, as well as calculating measures of central tendency (mean), dispersion (variance/standard deviation), and correlation.

: Using probability distributions (normal, lognormal) and trees to quantify the likelihood of various investment outcomes and manage risk.

: A critical tool for analysts to validate investment theories using procedures like z-tests, t-tests, and chi-square tests.