Data Self-paced
Data visualization with D3
Build charts that explain — from a single axis to a small-multiples dashboard with accessible tooltips.
$280
Data Intermediate Cohort
Production data pipelines with Airflow
Design, ship, and operate reliable batch and streaming pipelines that survive contact with real traffic.
What this course is about
A cohort-based course for engineers who already write SQL and Python and want to operate pipelines that other teams trust. We move from a single notebook to a scheduled, monitored, retried, and documented pipeline — the kind production actually wants. By the end you have a portfolio pipeline running against a realistic dataset, plus the patterns to keep it running.
What you leave with
- Build a production-grade pipeline end to end, including retries and SLAs
- Operate a real pipeline for two weeks with the cohort and an on-call rotation
- Ship a portfolio piece with monitoring, docs, and a data contract
Skills you practice
AirflowDagster basicsBackfill strategySLA contractsData quality gates
Prerequisites
- SQL at an intermediate level
- Python (functions, classes, basic typing)
Time by module
Minutes per module. Hover or focus a bar for the exact count. M1 is the first module in the syllabus.
| Category | Minutes |
|---|---|
| M1 | 64 |
| M2 | 74 |
| M3 | 72 |