Microsoft's flagship BI tool. Power BI Desktop vs Service vs Mobile vs Report Server, getting data (CSV, Excel, SQL Server, Snowflake, BigQuery, REST APIs, SharePoint, Dataverse), Power Query M language for ETL, merging & appending queries, data types & profiling, the data model (star schema, fact & dimension tables), relationships (one-to-many, many-to-many, bidirectional, USERELATIONSHIP), DAX language deep dive — calculated columns vs measures, row context vs filter context, CALCULATE, FILTER, ALL, ALLEXCEPT, time intelligence (TOTALYTD, SAMEPERIODLASTYEAR), variables & VAR, building reports (visuals — bar, column, line, area, pie, donut, treemap, map, matrix, table, KPI, gauge), bookmarks & drillthrough, sync slicers, custom visuals from AppSource, theming, mobile layouts, paginated reports (RDL), incremental refresh, gateways (on-prem & VNet), Power BI Service (workspaces, apps, datasets, dataflows, datamarts), row-level security (RLS) & object-level security, sharing & permissions, scheduled refresh, deployment pipelines, Power BI Embedded for ISVs, integration with Power Automate / Power Apps / Teams / SharePoint, Copilot for Power BI, certification (PL-300 Microsoft Certified Data Analyst Associate). 30 units, 450 lessons.