Welcome to your Data Science & AI learning hub. Browse by section below, or start with Getting Started if you're just beginning.
Apply your skills to real finance problems. Risk modeling, trading strategies, portfolio analysis, and capstone projects.
Build credit scoring models using R - from data prep to scorecard deployment
Apply ML algorithms to financial prediction problems
Build and backtest systematic trading strategies
Analyze and forecast financial time series data
Price and analyze options and other derivatives
Portfolio optimization and performance analysis
Learn how to evaluate investment risks and returns using Python. Covers financial risk fundamentals, return calculations, statistical measures (mean, variance, skewness, kurtosis), and practical analysis techniques for real-world investment data.
