Welcome to your Data Science & AI learning hub. Browse by section below, or start with Getting Started if you're just beginning.
Statistics, probability, and finance math. The quantitative skills that underpin data science and finance.
Foundational concepts in statistics
Statistical measures applied to financial data
Fundamental probability theory and concepts
Normal, binomial, Poisson, and other key distributions
Advanced distribution concepts for risk
Statistical sampling and parameter estimation
Statistical hypothesis testing and inference
Simple and multiple linear regression
Advanced quantitative techniques
Mathematical foundations for portfolio management: returns, risk, correlation, and diversification
Understanding and modeling volatility in financial markets
Understand VaR concepts and calculation methods
Mathematical foundations of Value at Risk measurement
Overview of quantitative finance concepts and career paths
Principles and concepts of credit risk management
Conceptual foundations for building credit risk models
