Apply AI & Machine Learning to Financial Forecasting
Turn financial data into actionable forecasts using machine learning and AI. This practical course builds your ability to model trends, predict outcomes, and support financial decisions using Python tools such as pandas, scikit-learn, and Prophet.
You’ll begin with ML foundations tailored for finance, including regression, clustering, and time series forecasting for trend and seasonality analysis. Next, you’ll engineer domain-specific features such as lag variables, rolling statistics, volatility metrics, technical indicators, and seasonal signals to improve predictive accuracy.
You’ll then…
Watch on Coursera ↗
(saves to browser)
DeepCamp AI