SophiArch
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.

Syllabus

Wrangling Real-World Data

01
Auditing a New DatasetFree preview
25 min
02
Missing Data Strategies
35 min
03
Reshaping and Merging DataFrames
40 min

Feature Engineering

04
Encoding Categorical Features
35 min
05
Numerical Transformations
35 min
06
Datetime and Text Features
40 min