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Course Module: Power BI Fundamentals

Module 1: Introduction to Power BI

• Overview of Business Intelligence (BI) and Data Visualization
• Introduction to Power BI Desktop, Power BI Service, and Power BI Mobile
• Exploring Power BI Interface and Navigation
• Understanding Power BI Data Sources and Connectors

Module 2: Getting Started with Power BI Desktop

• Installing Power BI Desktop and Setting Up Environment
• Connecting to Data Sources: Excel, CSV, SQL Server, etc.
• Loading and Transforming Data with Power Query Editor
• Understanding Data Model and Relationships

Module 3: Data Visualization Basics

• Introduction to Data Visualization Principles
• Creating Basic Charts: Bar, Line, Pie, and Scatter plots
• Formatting Visualizations: Colors, Fonts, and Styles
• Implementing Drill-Down and Drill-Through Features

Module 4: Advanced Data Modeling

• Understanding Data Modeling Concepts in Power BI
• Creating Calculated Columns and Measures with DAX
• Implementing Hierarchies and Time Intelligence Functions
• Handling Data Model Optimization and Performance Tuning

Module 5: Power BI Data Analysis and Insights

• Utilizing Power BI Filters and Slicers for Interactivity
• Implementing Cross-Filtering and Drill-Through Analysis
• Implementing Custom Calculations and Key Performance Indicators (KPIs)
• Analyzing Trends and Patterns with Quick Insights

Module 6: Power BI Data Visualization Techniques

• Creating Advanced Visualizations: Treemaps, Waterfall Charts, etc.
• Implementing Custom Visuals and Marketplace Visualizations
• Utilizing Map Visualizations and Geographic Data
• Designing Dashboards for Effective Data Presentation

Module 7: Power BI Data Integration and Advanced Features

• Integrating Power BI with External Data Sources and Services
• Implementing Data Refresh and Scheduled Data Refresh
• Sharing and Collaborating on Power BI Reports and Dashboards
• Implementing Row-Level Security and Data-Level Security

Module 8: Power BI Service and Administration

• Introduction to Power BI Service Features and Functionality
• Publishing and Sharing Power BI Reports and Dashboards
• Managing Power BI Workspaces, Apps, and Content Packs
• Implementing Power BI Administration and Governance Best Practices

Module 9: Power BI Data Analysis Expressions (DAX)

• Understanding DAX Syntax and Functions
• Advanced DAX Functions for Aggregation and Calculation
• Working with Time Intelligence Functions in DAX
• Implementing Complex DAX Formulas and Expressions

Module 10: Power BI Integration with Other Tools and Services

• Integrating Power BI with Microsoft Excel and SharePoint
• Utilizing Power BI Embedded for Embedding Analytics into Applications
• Integrating Power BI with Azure Services: Azure Data Lake, Azure SQL Database, etc.
• Exploring Power BI Premium and Power BI Report Server

Each module will include hands-on exercises, projects, and assessments to reinforce learning and practical application of Power BI concepts.