AI dashboards and BI

About this course

This course treats dashboards as decision-making tools, not decoration: how to figure out what decision a dashboard actually supports, align metrics across teams, and stop confusing people with layout choices. It solves the problem of turning a sprawling zoo of reports into a manageable system.

The course moves from dashboard types and auditing existing ones through metric definitions with formulas and owners to data layers, perceptual design, and an operations playbook. Projects run on your own dashboards: a metric glossary for one business domain, a data layer rebuilt under an existing dashboard, a screen redesigned by the block's rules with a before-and-after comparison.

Built for analysts and BI developers who already build dashboards and want to bring order to them. You'll need experience with some BI tool or SQL — the work is done on your own real reports.

What you'll learn

• Identify what decision a dashboard actually supports
• Tell operational, analytical, and reporting dashboards apart
• Build a metric glossary with formulas, filters, and an owner
• Build data marts and pre-aggregations for a dashboard
• Use AI to generate queries with mandatory cross-checks
• Choose charts and honest axes that don't distort the data
• Design a visual hierarchy: what's visible in three seconds
• Track usage and retire dead dashboards

What you'll end up with

• A metric glossary for one business domain with formulas and owners
• A data layer under a dashboard, documented as an engineering decision
• A dashboard rebuilt to the block's design rules, with a before-and-after
• A certificate on paid plans

Not for you if you're looking to learn one specific BI tool from scratch rather than the principles behind building dashboards.