Track 06 of 06
Data Engineering
Learn to move and model data reliably: pipelines that extract, clean and load data, and the tables behind a business’s reports. Self-paced and free, with a peer pod and a volunteer mentor.
- Cost
- Free
- Pace
- Self-paced
- Builds toward
- Data engineer
Is it for you?
You enjoy SQL and making messy data trustworthy, and want to build the systems analysts depend on.
What you’ll learn
- Design tables and models that make reporting simple
- Build pipelines that extract, clean and load data on a schedule
- Catch bad data with automated quality checks
- Make pipelines safe to re-run after a failure
- Deliver data to dashboards that answer real questions
The stack
- SQL
- Python
- Data modelling
- Orchestration
- Data quality checks
- Dashboards
The project brief
ETL pipeline and reporting for a sample business
Build the data pipeline behind an example company’s weekly reporting: ingest raw exports, clean and model them, test the results, and power a dashboard that answers the questions its managers ask.
- What it shows
- That you can make data reliable from source to dashboard, and explain how you know it is right.
- Builds toward
- Data engineer
Briefs are modelled on real startup problems for learning. The work is yours: it is not done for any company, and it is not paid.
How the track runs
- Plant roots. Create your profile, choose your track and see what it covers.
- Foundations. Work through your track’s learning material at your own speed.
- Project sprint. Join a pod of up to six and build a production-style project brief.
- Lead and reflect. Optionally lead a pod, support newer students, and review what you learned.
- Share your portfolio. Publish your shipped work and earn your certificate of completion.
Questions about this track
- How is Data Engineering different from the AI & Machine Learning track?
- Data Engineering builds the pipelines and tables that everything else depends on. AI & Machine Learning uses that data to train and serve models. Many people explore both.
- What kind of datasets will I work with?
- Realistic sample data shaped like real business exports, including the gaps and inconsistencies real data has.
Plant your roots
Create a free account, choose your track and start at your own pace. No card needed, and you can pause or leave at any time.