Data Science, Machine Learning & AI
Welcome to your Data Science & AI learning hub. Browse by section below, or start with Getting Started if you're just beginning.
Finance Applications
Apply your skills to real finance problems. Risk modeling, trading strategies, portfolio analysis, and capstone projects.
Courses
Credit Risk Modelling in R
Build credit scoring models using R - from data prep to scorecard deployment
Machine Learning in Finance Using Python
Apply ML algorithms to financial prediction problems
Quantitative Trading Strategies in R
Build and backtest systematic trading strategies
Financial Time Series Analysis in R
Analyze and forecast financial time series data
Derivatives with R
Price and analyze options and other derivatives
Portfolio Analysis in R
Portfolio optimization and performance analysis
Investment Risk and Return Analysis in Python
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.