1.1 What is Business Intelligence (BI)?
1.2 Importance of BI in Decision-Making
1.3 Overview of Power BI
1.4 Power BI Ecosystem (Power BI Desktop, Service, Mobile)
1.5 Installing and Setting Up Power BI Desktop
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2.1 Power BI Interface and Navigation
2.2 Connecting to Data Sources
2.3 Basic Data Loading and Preview
2.4 Data Refresh and Auto Refresh Options
2.5 Import vs Direct Query Mode
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3.1 Introduction to Power Query
3.2 Cleaning and Filtering Data
3.3 Merging and Appending Queries
3.4 Creating Custom Columns
3.5 Handling Missing and Duplicate Data
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4.1 Data Model Basics
4.2 Relationships Between Tables
4.3 Star Schema vs Snowflake Schema
4.4 Calculated Columns and Measures
4.5 Performance Optimization Techniques
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5.1 Introduction to DAX
5.2 DAX Syntax and Functions
5.3 Aggregation and Filtering Functions
5.4 Time Intelligence Functions
5.5 DAX for KPIs and Advanced Calculations
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6.1 Power BI Visualization Pane
6.2 Creating Bar, Line, Pie, and Combo Charts
6.3 Maps and Geospatial Visualizations
6.4 Slicers, Filters, and Drillthrough
6.5 Custom Visuals and Marketplace Integration
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7.1 Tooltips and Bookmarks
7.2 Syncing Slicers and Drilldowns
7.3 Using Parameters in Reports
7.4 Hierarchies and Grouping
7.5 Advanced Analytics with Q&A and AI Visuals
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8.1 Power BI Service Overview
8.2 Workspaces and Dashboards
8.3 Publishing Reports to Power BI Service
8.4 Sharing and Collaborating on Reports
8.5 Row-Level Security (RLS)
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9.1 Case Study: Sales and Marketing Dashboard
9.2 Case Study: HR and Recruitment Analytics
9.3 Case Study: Financial Performance Reports
9.4 Integrating Power BI with Excel and Power Apps
9.5 Embedding Power BI in Web Apps and Portals
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10.1 Defining Problem Statement
10.2 Designing the Data Model
10.3 Building a Comprehensive Dashboard
10.4 Deployment and Presentation
10.5 Future Trends: Power BI and AI/ML Integration
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