Apply AI & Machine Learning to Financial Forecasting
Completed by Dor Bahadur Ale Magar
March 18, 2026
19 hours (approximately)
Dor Bahadur Ale Magar '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: Statistical Machine Learning
- Category: Time Series Analysis and Forecasting
- Category: Risking
- Category: Machine Learning Methods
- Category: Machine Learning Algorithms
- Category: Feature Engineering
- Category: Market Data
- Category: Model Evaluation
- Category: Financial Data
- Category: Machine Learning
- Category: Generative AI
- Category: Verification And Validation
