Build an Interactive Carbon-Emissions Explorer for a Climate Nonprofit
Overview
What this challenge is about.
Build three coordinated views and a country comparison for climate data, ship a usability iteration, and earn your verifiable certificate.
The scenario
The nonprofit (around 25 staff, around EUR 4 million annual budget, funded by EU grants and private climate donors) wants to triple cite-able use of its data in mainstream press by year-end.
The Brief
What you'll do, and what you'll demonstrate.
Ship a journalist-grade interactive emissions explorer with embed support and explicit data-caveat treatment.
Earning criteria — what you'll demonstrate
- Design coordinated multi-view interactive visualizations
- Communicate methodology caveats honestly without overwhelming readers
- Run lightweight usability tests with non-technical experts
- Ship for embedding in third-party contexts
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Data Visualization
Master · Data Engineering
Strong alignment
This challenge maps to Data Visualization at the Master level. It sharpens the same practical skills your coursework expects — but in a real industry context with actual constraints and deliverables.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Interactive Visualization
Apply interactive visualization to solve real industry problems and demonstrate production-level capability.
- D3
Apply d3 to solve real industry problems and demonstrate production-level capability.
- Observable
Apply observable to solve real industry problems and demonstrate production-level capability.
- Data Storytelling
Apply data storytelling to solve real industry problems and demonstrate production-level capability.
- User Testing
Apply user testing to solve real industry problems and demonstrate production-level capability.
- Data Journalism
Apply data journalism to solve real industry problems and demonstrate production-level capability.
Careers
Career paths this challenge builds toward
Completing this challenge demonstrates skills that transfer directly to these roles:
AI Product Designer
Designing interactive data products that hold up to expert scrutiny is a core AI product designer skill, especially at climate, public-policy, or media organizations.
This challenge sharpens
- interactive-visualization
- data-storytelling
- user-testing
Data Scientist
Communicating multi-year methodology shifts honestly is the kind of data-storytelling responsibility data scientists carry on public-facing work.
This challenge sharpens
- data-storytelling
- data-journalism
- interactive-visualization
AI Product Manager
Scoping for embed-readiness and external usability tests mirrors AI PM work on data products with external audiences.
This challenge sharpens
- user-testing
- data-storytelling
- interactive-visualization