Curriculum Controls
4h (Casual)
15h (Serious)
30h (Full-time)
Active Optimization Metric:
Focusing on applied code execution, end-to-end model pipeline construction, and verified Kaggle kernel mastery.
Interactive Skill Dependency Graph (Click node to inspect syllabus)
Core Foundations
Modeling / ML
Production & Scale
Module: Python & SQL Data Core
30 Study Hours
Curriculum Objectives
Data manipulation with Pandas, NumPy vectorization, relational joins, aggregation, and Jupyter development environments.
Recommended Sites & Tracks
Kaggle Learn (Python & Pandas)
freeCodeCamp (Scientific Computing)
Hands-on Milestone Project
Build an automated exploratory ETL pipeline scraping and cleaning real-world housing market datasets.