Cleaning Messy Data
Learners can handle missing values, duplicates, invalid values, type conversion, dates, text categories, and outliers while preserving raw data and recording decisions in a cleaning log.
Downloadable-first courseRead the lesson online, then use the downloadable pack to run the practice and worked notebooks locally. A browser lab can be added later after full visualization runtime validation.
Module sequence
- LessonRead the classroom explanation
- Practice activityUse the supplied notebook and dataset
- Module checkConfirm the skill before moving on
Notebook path
After downloading the pack, open modules/module-05/notebooks/module-05-practice.ipynb in JupyterLab.