Power BI Course Content

Module 1: Introduction to Power BI

• 1.1 Overview of Power BI
  • What is Power BI?
  • Power BI Components: Power BI Desktop, Power BI Service, Power BI Mobile
  • Benefits and Use Cases of Power BI
• 1.2 Installing Power BI Desktop
  • System Requirements
  • Downloading and Installing Power BI Desktop
  • Overview of Power BI Desktop Interface
• 1.3 Power BI Service Overview
  • What is Power BI Service?
  • Navigating Power BI Service
  • Connecting Power BI Desktop with Power BI Service

Module 2: Data Loading and Transformation

• 2.1 Importing Data
  • Connecting to Data Sources: Excel, CSV, SQL Server, Web, and other sources
  • Overview of Data Load Options (Direct Query vs. Import)
  • Importing data with Power Query
• 2.2 Data Transformation with Power Query
  • Cleaning and shaping data with Power Query Editor
  • Handling missing data, duplicates, and errors
  • Filtering and sorting data
  • Merging and appending queries
  • Creating custom columns using M language
• 2.3 Data Modeling Basics
  • Introduction to Data Models: Relationships, Tables, and Keys
  • Understanding Cardinality and Relationship Types
  • Managing Relationships in Power BI
  • Building and Managing Data Models

Module 3: Visualizations and Reporting

• 3.1 Introduction to Visualizations
  • Types of Visuals in Power BI: Charts, Tables, Cards, Maps, etc.
  • Creating and Formatting Visuals
  • Understanding Visual Properties and Settings
  • Choosing the Right Visual for Your Data
• 3.2 Creating Basic Reports
  • Building Your First Report: Combining multiple visuals
  • Customizing report layout and themes
  • Working with Slicers and Filters
• 3.3 Advanced Visualizations
  • Using Conditional Formatting
  • Creating Custom Visuals
  • Drillthrough, Tooltip, and Drilldown features
  • Using Power BI Marketplace for additional visuals
• 3.4 Interactive Reports and Dashboards
  • Creating Interactive Reports
  • Designing Dashboards in Power BI Service
  • Embedding Visuals and Reports

Module 4: DAX (Data Analysis Expressions)

• 4.1 Introduction to DAX
  • What is DAX?
  • Basic DAX Syntax and Functions
  • Measures vs. Calculated Columns
• 4.2 Common DAX Functions
  • SUM, AVERAGE, COUNT, COUNTROWS, MIN, MAX, etc.
  • Logical Functions: IF, SWITCH, AND, OR
  • Date and Time Functions: YEAR, MONTH, DATEADD, DATEDIFF
  • Aggregation Functions: CALCULATE, FILTER, ALL, ALLEXCEPT
• 4.3 Advanced DAX Techniques
  • Time Intelligence: YTD, QTD, MTD, etc.
  • Creating Dynamic Measures and Calculations
  • Variables in DAX
  • Optimizing DAX Queries for Performance

Module 5: Power BI Service and Sharing Reports

• 5.1 Power BI Service Basics
  • Navigating Power BI Service
  • Creating and publishing reports to Power BI Service
  • Creating and organizing workspaces
• 5.2 Data Refresh and Scheduling
  • Setting up data refresh in Power BI Service
  • Managing data gateways for on-premises data sources
  • Scheduling refresh frequency
• 5.3 Sharing and Collaboration
  • Sharing reports and dashboards with others
  • Working with Apps in Power BI Service
  • Creating and managing Power BI content packs
  • Power BI Collaboration features: Comments, Alerts, and Sharing
• 5.4 Power BI Mobile App
  • Accessing Reports on Mobile
  • Using the Power BI mobile app for viewing dashboards
  • Interacting with reports on mobile devices

Module 6: Power BI Advanced Features

• 6.1 Power BI Embedded
  • Introduction to Power BI Embedded
  • Embedding Power BI reports in applications
  • Authentication and Access Control
• 6.2 Power BI APIs and Automation
  • Overview of Power BI REST API
  • Automating Power BI with Power Automate
  • Integrating Power BI with other tools (e.g., Azure, Excel, etc.)
• 6.3 Advanced Data Modeling
  • Star Schema vs. Snowflake Schema in Power BI
  • Using Aggregation Tables for Performance Optimization
  • Managing Large Datasets
• 6.4 Power Query Advanced Features
  • Writing Custom Functions in Power Query
  • Advanced Merge and Join Techniques
  • Using Parameters for Flexible Queries

Module 7: Power BI Security and Governance

• 7.1 Row-Level Security (RLS)
  • Implementing Row-Level Security in Power BI
  • Configuring Roles and Rules
  • Testing and managing RLS in Power BI
• 7.2 Power BI Security Best Practices
  • Securing Data in Power BI Reports and Dashboards
  • Managing Permissions and Access Control
  • Best practices for Power BI Governance
• 7.3 Auditing and Monitoring Power BI
  • Power BI Audit Logs
  • Power BI Activity Reports
  • Monitoring Dataset and Report Usage

Module 8: Power BI and Power Query Advanced Integration

• 8.1 Power BI and Excel Integration
  • Importing Excel files into Power BI
  • Using Power Query in Excel and Power BI
  • Power Pivot and Power BI
• 8.2 Integrating Power BI with Other Microsoft Tools
  • Power BI and Azure Integration
  • Power BI with PowerApps and Power Automate
  • Power BI and Teams for Collaboration

Module 9: Final Project and Case Studies

• 9.1 Project Guidelines
  • Overview of the final project: Building a complete Power BI report
  • Best practices for report design
• 9.2 Case Study Analysis
  • Real-world case studies using Power BI
  • Solutions for different industries (Finance, Sales, Marketing, etc.)
• 9.3 Hands-on Project
  • Complete a hands-on project where students will build and present a Power BI report/dashboards.

Module 10: Power BI Certification Preparation (Optional)

• 10.1 Power BI Certification Overview
  • Introduction to Power BI Certification Exam
  • Topics Covered in Certification Exam
  • Tips and Resources for Certification Preparation
• 10.2 Practice Tests
  • Sample Test Questions
  • Solving Real-life Power BI Scenarios