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
Data analysis in Python leans on a small set of core types. Understanding them prevents subtle bugs later.
Core ideas:
- Numbers, strings, booleans, and type conversion
- Lists, tuples, and dictionaries for structured data
- Iteration, comprehensions, and functions for reuse
These building blocks map directly to how pandas represents tables and columns.