P Business Intelligence
Overview of Power BI
- What is Power BI?
- Importance of Power BI in Business Intelligence
- Power BI Ecosystem: Power BI Desktop, Power BI Service, Power BI Mobile
- Key Features of Power BI
Getting Started with Power BI Desktop
- Installing Power BI Desktop
- Navigating the Power BI Interface
- Understanding the Power BI Canvas
- Exploring Basic Visualizations (Tables, Columns, Bar Charts, Pie Charts)
Data Import and Transformation
- Importing Data from Various Sources (Excel, CSV, SQL Server, Web)
- Understanding Queries and the Power Query Editor
- Basic Data Cleaning (Removing Columns, Filtering, Sorting)
- Data Transformation (Changing Data Types, Adding Columns)
Creating Basic Reports
- Creating Visualizations: Tables, Bar/Column charts, Pie charts, Line charts
- Applying Basic Formatting
- Adding Filters and Slicers
Data Modeling and Advanced Transformation (Intermediate Level)
Understanding Data Model Concepts
- Relational Data Model (Tables, Relationships)
- Types of Relationships: One-to-One, One-to-Many, Many-to-Many
- Cardinality and Cross-Filtering
- Creating Relationships Between Tables
Advanced Power Query Techniques
- Data Merging and Appending
- Grouping and Aggregating Data
- Creating Custom Columns with M Code
- Using Parameters in Queries
Using DAX (Data Analysis Expressions)
- Introduction to DAX o Calculated Columns vs. Measures
- Basic DAX Functions: SUM, COUNT, AVERAGE, MIN, MAX
- Filtering Functions in DAX (CALCULATE, FILTER)
- Time Intelligence Functions (YTD, QTD, MTD)
Advanced Visualization Techniques
Customizing VisualizationsCreating Hierarchies in Visuals
Conditional Formatting
Using Bookmarks for Interactivity
Advanced Power BI and DAX (Advanced Level)
Advanced DAX Functions
- Using DAX for Financial Metrics (Year-over-Year, Moving Averages)
- Iterative Functions (SUMX, AVERAGEX)
- Advanced Time Intelligence (DATEADD, SAMEPERIODLASTYEAR)
- Complex Filters and Context Manipulation (ALL, ALLEXCEPT, VALUES)
Optimizing Data Models
- Performance Optimization in Power BI
- Reducing Data Size and Improving Query Performance
- Using Aggregation Tables and Summary Tables
Advanced Visualizations
- Using Custom Visuals from Power BI Marketplace
- Creating and Using Tooltips
- Designing Dashboards with Multiple Reports
- Creating Interactive Reports (Drill-Through, Drill-Down, Cross-filtering)
Power BI Service
- Publishing Reports to Power BI Service
- Sharing and Collaborating on Power BI Reports
- Data Gateways and Scheduled Refreshes
- Managing Workspaces and Apps
- Row-Level Security (RLS) Setup
Power BI Mobile
- Power BI Mobile App Features
- Optimizing Reports for Mobile View
Data Governance and Security
Understanding Data Governance
- Power BI Security Overview
- Role-based Security in Power BI
- Configuring Permissions for Power BI Content
Row-Level Security (RLS)
- Configuring RLS for Specific Users
- Dynamic RLS Using DAX
- Testing and Troubleshooting RLS
Audit Logs and Monitoring
- Power BI Usage Analytics
- Accessing and Interpreting Power BI Activity Logs
- Governance Best Practices in Power BI
Power BI Integration and Automation
- Power BI and Excel Integration
- Importing and Connecting Power BI Data into Excel
- Exporting Power BI Data to Excel
- Analyzing Power BI Data in Excel Using Power Pivot and Power Query
Power BI with Other Microsoft Tools
- Power BI with Power Automate (Automating Workflows)
- Power BI with Power Apps (Embedding Power BI in Apps)
- Power BI with Azure (Connecting Power BI to Azure SQL Database)
Power BI API
- Introduction to Power BI REST API
- Embedding Power BI Reports in Custom Applications
- Automating Power BI Reporting via API
Power BI with SQL and Azure Data Lake
- Connecting Power BI to Azure Data Lake
- Working with Large Datasets Using DirectQuery
- Querying Data from SQL Server
Case Studies and Real-World Applications
Case Studies
- Real-World Applications of Power BI in Various Industries
- Building a Complete Power BI Dashboard from Scratch
Capstone Project
- Designing a Full Dashboard Solution
- End-to-End Power BI Workflow (Data Import, Model, DAX, Visualizations)
- Deploying and Sharing Reports on Power BI Service
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