Apply AI & Machine Learning to Financial Forecasting
Completed by Ernesto Torres Castillo
August 5, 2026
19 hours (approximately)
Ernesto Torres Castillo's account is verified. Coursera certifies their successful completion of Apply AI & Machine Learning to Financial Forecasting
What you will learn
Build and apply regression, time series, and clustering models for real financial forecasting scenarios
Engineer advanced financial features such as lag variables, rolling statistics, volatility metrics, and technical indicators
Evaluate and validate models using cross-validation, walk-forward validation, and error metrics like MAE, RMSE, and MAPE
Implement end-to-end AI workflows for stock prediction, credit risk modeling, portfolio analytics, and sentiment analysis
Skills you will gain
- Category: Feature Engineering
- Category: Applied Machine Learning
- Category: Verification And Validation
- Category: Credit Risk
- Category: Machine Learning Algorithms
- Category: Forecasting
- Category: Machine Learning Methods
- Category: Time Series Analysis and Forecasting
- Category: Risking
- Category: Financial Forecasting
- Category: Model Training
- Category: Statistical Machine Learning
