01
Choose a Roadmap.
Begin with Foundations, then choose Data Engineering, Data Analysis, or Data Science.
You finished the courses.
Now build the proof.
Free Roadmaps for data learners. Build one real project in your GitHub repository and publish your progress.
Dev · Open nowFree · Self-paced · Sign in with GitHub
Example workflow
DATA ENGINEERING ROADMAPModule 2 in progress
01 / Local Data Platform
Ingest an API into PostgreSQL
02 / Warehouse Modeling
Event grain, facts and dimensions
03 / Analytics Engineering with dbt
Tested, documented models
YOUR PUBLIC REPOSITORYyour-name / civic-reliability-platform
src/ingest/traffic_sensors.pyAdded
docker-compose.ymlAdded
tests/test_idempotency.pyAdded
README.mdRerun proof
>Check my work · Module 02
1/4 New commit since you started the module
2/4 Required files are in the repository
3/4 Required sections and keywords are present
4/4 CI is not failing on your latest commit
A passed milestone joins your public build log
How Dev works.
02
Learn, then practise.
Follow free resources. Practise Python and SQL in your browser during Foundations.
03
Build one project.
Every specialization module adds to one project in your own GitHub repository.
04
Check it and publish.
Check your latest commit against the milestone. Passed checks appear in your public build log.
PROJECT BRIEF · DATA ENGINEERING
One specialization.
One real project.
Build a Civic Reliability Data Platform: help a city team track service demand and response times. Each milestone adds to the same system.
Each specialization has its own cumulative project.
Explore Data EngineeringONE REPOSITORY · EIGHT MILESTONES
- 01 / INGEST
Get the data in
Public API → PostgreSQL, without duplicate records.
- 02 / MODEL
Shape it for analysis
Model facts, dimensions, and changing records.
- 03 / TRANSFORM
Make it trustworthy
Build documented dbt layers with data quality tests.
Five more milestones follow, ending in a production release.
Your path forward.
Start in Dev. Earn your way into what comes next.
DevOpen now
Learn and build.
Build your foundations, then a public project. Free and self-paced.
StagingNot open yet
Build with a team.
Sustained progress opens the path to apply. Small teams will build Stacc products through pull requests and review.
ProdLater
Ship to real users.
Ship a data or AI product people use. Earn the Builder title.
Questions.
Is Dev free?
Yes. Roadmaps, practice, project briefs, GitHub checks, and your public build log are free.
Who is it for?
Data learners ready to turn courses into public work. Start with Foundations, then specialize in Data Engineering, Data Analysis, or Data Science. We link to free learning resources rather than making video courses.
Do I need GitHub?
Yes, for sign-in. Foundations need no repository. For your specialization, connect a public repository on your own account.
How do the checks work?
Stacc checks a new GitHub commit for the required milestone files and content, and that your build is not failing. Checks confirm artifacts, not professional skill. Your public repository lets others inspect the work.
What comes after Dev?
Staging and Prod are not open yet. Staging will offer team work on Stacc products by application. Prod follows with products shipped to real users. Both are earned, not bought.
Start building your proof.
Sign in with GitHub. Your first module starts in Foundations.