Power BI Syllabus (Module-Wise)

Module 1: Introduction to Power BI

• Overview of Business Intelligence (BI)
• Introduction to Power BI
• Components of Power BI
• Power BI Desktop, Service, and Mobile
• Power BI architecture
• Installation and setup

Module 2: Data Sources and Data Connection

• Connecting to Excel files
• Connecting to CSV and Text files
• Connecting to SQL databases
• Connecting to cloud services
• Import vs DirectQuery
• Data refresh concepts

Module 3: Data Transformation with Power Query

• Power Query Editor overview
• Data cleaning techniques
• Removing duplicates
• Splitting and merging columns
• Handling null values
• Appending and merging queries
• Creating custom columns

Module 4: Data Modeling

• Data model concepts
• Relationships (One-to-One, One-to-Many, Many-to-Many)
• Star schema
• Snowflake schema
• Fact and dimension tables
• Model optimization

Module 5: DAX Fundamentals

• Introduction to DAX (Data Analysis Expressions)
• Calculated columns
• Measures
• Variables
• Basic DAX functions
• Aggregation functions
• Logical functions

Module 6: Advanced DAX

• Time intelligence functions
• CALCULATE function
• FILTER function
• Context (Row and Filter Context)
• Ranking functions
• Financial calculations
• Performance optimization

Module 7: Data Visualization Basics

• Charts and graphs
• Tables and matrices
• Cards and KPIs
• Slicers
• Maps and geographic visuals
• Formatting visuals

Module 8: Interactive Dashboards

• Dashboard design principles
• Drill-down and drill-through
• Bookmarks
• Buttons and navigation
• Tooltips
• Dynamic reports

Module 9: Advanced Visualizations

• Custom visuals
• Decomposition Tree
• Key Influencers
• Waterfall Charts
• Funnel Charts
• Gauge Charts
• AI visuals

Module 10: Power BI Service

• Publishing reports
• Workspaces
• Datasets
• Reports and dashboards
• Sharing content
• Collaboration features

Module 11: Data Refresh and Gateway

• Scheduled refresh
• On-premises Data Gateway
• Incremental refresh
• Refresh troubleshooting
• Data source credentials

Module 12: Security in Power BI

• Row-Level Security (RLS)
• Object-Level Security (OLS)
• Workspace permissions
• Data governance
• Security best practices

Module 13: Power BI Administration

• Tenant settings
• Capacity management
• Usage monitoring
• Audit logs
• Governance policies

Module 14: Power BI and Excel Integration

• Importing Excel data
• Analyze in Excel
• Power Pivot integration
• Exporting reports
• Excel-connected reports

Module 15: SQL for Power BI

• SQL basics
• SELECT statements
• Filtering data
• Joins
• Aggregate functions
• Query optimization basics

Module 16: Advanced Analytics

• Forecasting
• Clustering
• Anomaly detection
• What-if parameters
• Predictive analytics
• AI insights

Module 17: Power BI with Cloud Platforms

• Integration with Microsoft Azure
• Azure SQL Database
• Azure Data Lake
• Cloud-based analytics
• Dataflows

Module 18: Real-World Business Reporting

• Sales dashboard
• Finance dashboard
• HR dashboard
• Inventory dashboard
• Marketing analytics dashboard
• Executive KPI dashboard

Module 19: Performance Optimization

• Model optimization
• Query performance tuning
• DAX optimization
• Reducing report load times
• Best practices

Module 20: Capstone Project and Certification Preparation

• End-to-end Power BI project
• Data extraction and transformation
• Data modeling
• Dashboard development
• Publishing and security
• Interview preparation
• Certification exam topics

Career-Oriented Learning Paths

Power BI Data Analyst

• Modules 1–20

Business Analyst

• Modules 1–10, 16, 18, 20

Reporting Analyst

• Modules 1–12, 18, 20

BI Developer

• Modules 1–20 with emphasis on DAX, modeling, and optimization

Hands-On Projects

Project 1: Sales Analytics Dashboard

• Revenue analysis
• Regional performance
• Product profitability

Project 2: HR Analytics Dashboard

• Employee attrition
• Headcount analysis
• Recruitment metrics

Project 3: Financial Reporting Dashboard

• P&L analysis
• Budget vs actual
• Cash flow monitoring

Project 4: Executive KPI Dashboard

• Company-wide KPIs
• Interactive drill-through reports
• Automated refresh and sharing