Data for AI and ML

Catalog description

This course introduces practical skills for preparing and managing real-world data that underpins modern AI and machine learning systems. Students will learn how to discover, access, assess, clean, integrate, and document diverse data sources so they can be used to train reliable, effective, and fair models in real application settings such as health, business, the environment, and the social sciences.