Finance Applications
Apply your skills to real finance problems. Risk modeling, trading strategies, portfolio analysis, and capstone projects.
This is where your programming, statistics, and machine learning skills come together. Each course tackles a real finance problem using the tools you've learned: building credit scorecards, backtesting trading strategies, analyzing financial time series, and pricing derivatives. These are hands-on, applied projects.
Putting It All Together
The courses here assume you've built a foundation in programming (Python or R), quantitative methods, and ideally some machine learning. Each course produces something tangible: a working model, a backtested strategy, or an analysis pipeline you can extend and apply at work.
What You'll Build
You'll build complete, working projects: a credit risk scorecard using logistic regression, a portfolio optimizer using mean-variance optimization, trading strategies with proper backtesting, and time series forecasting models. Each project is designed to be portfolio-worthy and interview-discussable.
Industry-Relevant Skills
The courses cover topics directly relevant to roles in risk management, quantitative analysis, and portfolio management. You'll learn not just the techniques but the context: regulatory requirements, industry conventions, and practical considerations that matter in real finance work.
