What you learn
- Modeling data so reports stay correct as they grow
- Defining metrics everyone agrees on
- Building dashboards people actually use
- Spotting and explaining anomalies
What you will understand
- Dimensional modeling and metric definitions
- SQL for reporting at scale
- Dashboard design and data storytelling
- Data freshness and trust
How you will practice
- Define a contested metric so two teams can agree on it
- Build a dashboard from a real reporting request
- Diagnose why a number moved and explain it plainly
What you will build
- A trusted dashboard with documented metric definitions
- An anomaly investigation that explains a sudden change
The proof you build
Evidence that you can model data, define metrics rigorously, and deliver reporting a business can rely on.
Your work is observed with your consent, scored for independence and assistance, and turned into proof that carries a confidence level. The career path can reach a high-assurance credential, anchored by a scored capstone.
What is not live yet
The desktop app, consent-based observation, scoring, and credentials are in development. Nothing here implies they are live yet.
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