Power BI

Module 1: Introduction to Power BI

Overview of Business Intelligence (BI)
Introduction to Power BI and Its Importance
Power BI Components (Power BI Desktop, Power BI Service, Power BI Mobile)
Comparison of Power BI with Other BI Tools (Tableau, QlikView)
Installing and Setting Up Power BI Desktop

Module 2: Power BI Interface and Data Loading

Understanding Power BI Desktop Interface
Data Sources Supported in Power BI (Excel, SQL, Cloud, APIs, etc.)
Connecting to Different Data Sources
Importing and Transforming Data
Using Query Editor for Data Shaping

Module 3: Data Transformation & Power Query

Introduction to Power Query Editor
Data Cleaning and Data Shaping Techniques
Splitting, Merging, and Formatting Data
Handling Missing and Duplicate Values
Using Functions for Data Transformation

Module 4: Data Modeling & Relationships

Understanding Data Modeling in Power BI
Creating Relationships Between Tables
One-to-One, One-to-Many, and Many-to-Many Relationships
Creating and Managing Hierarchies
Optimizing Data Models for Performance

Module 5: DAX (Data Analysis Expressions) in Power BI

Introduction to DAX
Types of DAX Functions (Aggregate, Logical, Date, Text, Filter)
Creating Calculated Columns and Measures
Using DAX to Create KPIs and Performance Metrics
Advanced DAX Functions (Time Intelligence, Variables, Ranking)

Module 6: Data Visualization in Power BI

Introduction to Power BI Visualization Options
Creating and Customizing Charts (Bar, Line, Pie, Donut, Scatter, etc.)
Using Maps for Geospatial Data (Filled Maps, Heat Maps)
Customizing Visual Elements (Legends, Titles, Colors, Labels)
Best Practices for Effective Data Visualization

Module 7: Advanced Visualizations and Custom Visuals

Creating Interactive Dashboards
Using Advanced Visuals (Tree Maps, Waterfall Charts, Funnel Charts)
Creating Custom Visuals Using Marketplace Extensions
Working with Bookmarks and Drillthrough Actions
Using Slicers, Filters, and Parameters for Data Filtering

Module 8: Power BI Service (Cloud-based BI)

Introduction to Power BI Service
Publishing Reports to Power BI Service
Sharing and Collaborating on Dashboards
Creating Workspaces and Managing Permissions
Scheduling Data Refresh and Setting Up Alerts

Module 9: Power BI Paginated Reports

Introduction to Paginated Reports
Creating and Formatting Paginated Reports
Exporting Reports to PDF, Excel, and Other Formats
Using Parameters in Paginated Reports
Best Practices for Report Design

Module 10: Power BI and Excel Integration

Connecting Excel with Power BI
Importing Excel Data into Power BI
Using Power Pivot and Power Query with Power BI
Exporting Power BI Reports to Excel

Module 11: Power BI and SQL Server Integration

Connecting Power BI with SQL Server Database
Writing SQL Queries in Power BI
Direct Query vs. Import Mode
Query Folding and Performance Optimization

Module 12: Power Automate and Power BI Integration

Introduction to Power Automate
Automating Workflows with Power BI
Sending Automatic Reports via Email
Triggering Notifications Based on Data Changes

Module 13: Security and Administration in Power BI

Implementing Row-Level Security (RLS)
Managing User Access and Permissions
Using Azure Active Directory for Authentication
Power BI Governance Best Practices

Module 14: AI and Machine Learning in Power BI

Introduction to AI Capabilities in Power BI
Using AI Visuals (Key Influencers, Decomposition Tree)
Integrating Python and R with Power BI
Performing Predictive Analysis in Power BI

Module 15: Real-Time Data and Streaming Datasets

Introduction to Real-Time Data in Power BI
Connecting to Live Data Sources (IoT, Streaming Data)
Creating Dashboards for Real-Time Analytics
Managing Streaming Datasets

Module 16: Power BI Deployment and Performance Optimization

Best Practices for Power BI Deployment
Performance Optimization Techniques
Reducing Data Load and Query Optimization
Managing Large Datasets Efficiently

Module 17: Hands-On Projects & Case Studies

Real-World Business Scenarios and Data Analysis
Creating a Sales and Marketing Dashboard
Financial Data Analysis and Reporting
Supply Chain and Inventory Analytics
Final Project and Portfolio Development

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