Python Automation · Cohort
Data Pipeline Practicum
Extract, transform, and load datasets with pandas pipelines and reproducible notebooks.
- Duration
- 5 weeks
- Level
- Intermediate
- Schedule
- Evenings
- Price
- ₩380,000
Overview
Hands-on practicum for analysts moving from ad-hoc spreadsheets to scripted pipelines. Emphasis on validation gates, schema checks, and export formats your stakeholders actually read.
What is included
- —pandas ETL patterns
- —Schema validation with pydantic
- —Notebook-to-script conversion lab
- —Data quality report templates
- —Mentor review of pipeline README
- —Versioned dataset snapshots
Outcomes
- →Deliver one audited pipeline with tests
- →Automate a weekly export your team uses
- →Document data assumptions explicitly
Min-jun Park
Technical mentor focused on scripting workflows for operations teams.
FAQ
Labs use samples under 500MB. Larger data requires your own infrastructure.
Reviews
"The schema validation week changed how I hand off CSVs. Still manual on chart styling — fair trade."