Learning

Analytical Foundations of Statistical Inference

Real Analysis → Hypothesis Testing and Confidence Intervals

This learning path builds the mathematical foundations required for advanced statistical theory, focusing on measure-theoretic probability, modes of convergence, and asymptotic analysis of estimators. It is designed for university-level data science and statistics students aiming to understand why statistical methods work.