original module
Intermediate
Data Foundations
Data Pipelines for ML
An original module on collecting, cleaning, and preparing data for machine learning workflows without over-engineering the pipeline.
Outcomes
- Design a small ETL workflow
- Validate data quality gates
- Prepare features for downstream ML