AI/BI for Data Analysts
This course teaches data analysts how to design, build, publish, and operate AI/BI Dashboards in Databricks. AI/BI Dashboards combine governed Unity Catalog data with interactive visualizations, filters, and Genie integration so business users can explore answers without writing code.
The course follows a single end-to-end build. You start with source tables in Unity Catalog and finish with a published, monitored multi-page dashboard. Along the way you learn how dashboards fit into the broader Databricks AI/BI product family and where Genie, datasets, visualizations, and filters each fit in the workflow.
The content covers:
• AI/BI Dashboard fundamentals and how they relate to Genie and the rest of the Databricks platform.
• Exploring source data in Unity Catalog and designing reusable dashboard datasets with SQL.
• Authoring visualizations (KPIs, trends, breakdowns) and laying out a clean multi-page dashboard.
• Using Genie Code to draft SQL, charts, and filters from natural language prompts.
• Adding filters to make dashboards interactive and responsive to viewer questions.
• Publishing, sharing, and managing permissions so the right people can view and edit the dashboard.
• Running the dashboard in production with scheduled refresh, caching, and usage monitoring.
Note: For SCORM lecture files, please ensure that you close the SCORM window after completing the content. Do not click the ‘Next Lesson’ button, as doing so may prevent the SCORM module from being marked as complete.
Languages Available: English | 日本語 | Português BR | 한국어 | Español | française
The content was developed for participants with these skills/knowledge/abilities:
• Basic familiarity with the Databricks workspace. You can navigate the workspace UI, open and use notebooks, and attach a SQL warehouse or other compute resource.
• Basic familiarity with Unity Catalog. You understand the three-level namespace (catalog, schema, table) and can find a table in the catalog explorer.
• Working knowledge of SQL, including joins. You can read and write SELECT statements with WHERE, GROUP BY, and aggregates, and you can join two tables on a shared key.
Self-Paced
Custom-fit learning paths for data, analytics, and AI roles and career paths through on-demand videos
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