PractitionerDS201
Data Wrangling & Feature Engineering
Real-world data rarely arrives clean. This course teaches you how practitioners actually prepare data: auditing a new dataset before touching it, resolving missing values strategically, reshaping messy structures, and encoding features ready for a model. You will leave with a repeatable audit and cleaning workflow you can apply to any dataset — and the judgment to know when AI-generated cleaning code is correct and when it isn't.
Lessons are AI-assisted and human-reviewed. Learn more.