How to Design Data Dashboards Using Tableau and Looker (Beginner to Advanced Learning Path)

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Frequently Asked Questions

What this playlist answers

5 questions this playlist covers — skim them for a quick takeaway, or dive into the videos above for the full picture.

A data dashboard is a visual interface that consolidates key metrics, charts, and KPIs into one view. Dashboards help stakeholders monitor performance, track business goals, and make data-driven decisions efficiently.

Creating a Tableau dashboard involves connecting a data source, building individual worksheets with visualizations, then assembling them into a dashboard layout. Interactivity is added through filters, parameters, and dashboard actions.

A drill-down allows users to click on a summary visual to explore more granular data. For example, clicking on a regional total might reveal individual city-level performance figures.

Tableau is a desktop-first BI tool known for drag-and-drop visualization and rich interactivity. Looker is a cloud-native platform that uses LookML for data modeling, making it more suited to centralized, governed analytics.

Effective dashboards use clear visual hierarchy, limit the number of metrics per view, choose appropriate chart types for each data story, and include filters so users can explore data themselves without overwhelming the layout.