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
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
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
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
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
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
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
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)
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
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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