Stephanie
Lead Data Scientist @JULO | Ex. GOJEK, UNILEVER.
Course Overview
Build practical data analysis skills with Python: clean data, explore patterns, and communicate insights with confidence.
This lesson
Real datasets are messy. Cleansing turns ambiguous inputs into trustworthy metrics.
Typical tasks:
- Handling missing values and duplicates
- Parsing dates and normalizing categories
- Feature-ready tables for aggregation and joins
Document assumptions as you clean—your future self (and teammates) will thank you.