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Comprehensive Power BI Course Syllabus
This Power BI course syllabus is designed to transform beginners into skilled data analysts by covering end-to-end concepts like data modeling, DAX, interactive dashboards, and cloud integration.
Whether you aim to become a BI developer or a data analyst, this structured syllabus ensures hands-on expertise in Microsoft’s leading business intelligence tool for real-world decision-making.
This syllabus equips learners with the skills to clean, transform, visualize, and share data insights using Power BI Desktop, Service, and Mobile apps.
1) Introduction to Power BI & Data Visualization
- What is Business Intelligence (BI)?
- Overview of Power BI tools (Desktop, Service, Mobile)
- Power BI architecture and workflow
- Installing Power BI Desktop
- Navigating the Power BI interface
- Creating basic charts: bar, line, pie, maps, tables
- Understanding fields, visuals, and filters
2) Power Query Editor & Data Transformation
- Connecting to various data sources (Excel, CSV, SQL, Web, etc.)
- Using Power Query Editor
- Data cleaning: removing nulls, duplicates
- Column splitting and merging
- Transposing and pivoting data
- Combining datasets: Append & Merge queries
- Creating custom columns using M-code
3) Data Modeling in Power BI
- Understanding data modeling principles
- Star schema vs snowflake schema
- Creating and managing relationships
- Active vs inactive relationships
- Creating calculated tables and columns
- Hierarchies and grouping
4) DAX (Data Analysis Expressions)
- Introduction to DAX
- Difference between calculated columns and measures
- Basic functions: SUM, COUNT, AVERAGE, IF
- Filter functions: CALCULATE, FILTER, ALL, VALUES
- Time intelligence: YTD, QTD, MTD, SAMEPERIODLASTYEAR
- Variables and nested DAX
- Performance optimization tips
5) Interactive Reports & Dashboards
- Building interactive dashboards
- Drill-through and drill-down functionality
- Bookmarks and page navigation
- Using slicers and filters
- Custom tooltips and visuals
- KPIs and cards
- Publishing reports to Power BI Service
6) Power BI Service (Cloud) & Sharing
- Power BI Service overview
- Creating and managing Workspaces
- Sharing dashboards and reports
- Data refresh and scheduling
- Implementing Row-Level Security (RLS)
- Creating dashboards from reports
- Exporting and embedding reports
7) Advanced Power BI Topics
- Gateway configuration for on-premise data
- Integration with Excel and SharePoint
- Connecting Power BI with Azure and SQL Server
- Using Power BI Mobile App
- Performance analyzer and optimization techniques
- Custom visuals and marketplace
- Power BI REST API (Intro)
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