Power BI Curriculum

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History of Power BI

2010: Microsoft launched Power BI as a cloud-based business analytics tool to visualize and share data.
2013: Gained popularity for creating interactive dashboards and reports in enterprises.
2015: Enhanced with Power BI Desktop, mobile apps, and integration with Office 365.
Evolution: Advanced with AI-powered analytics, real-time dashboards, and seamless integration with multiple data sources.
Current use: Widely used by BI professionals, analysts, and organizations for data visualization, reporting, and decision-making.

Module 1: Introduction to Business Intelligence & Power BI

  • What is Business Intelligence
  • Introduction to Data Analytics
  • Why Power BI
  • Power BI Components
  • Power BI Architecture
  • Installation & Setup
  • Power BI Licensing & Versions
  • Real-world Power BI Applications

Module 2: Data Sources in Power BI

  • Types of Data Sources
  • Excel Data
  • CSV / Text Files
  • SQL Server
  • MySQL
  • Oracle
  • Web Data
  • Folder Data
  • Import vs Direct Query
  • Data Refresh Types
  • Live Connections

Module 3: Power Query (Data Transformation)

  • Power Query Interface
  • Data Cleaning
  • Remove Duplicates
  • Handle Missing Values
  • Rename Columns
  • Change Data Types
  • Merge Queries
  • Append Queries
  • Split Columns
  • Replace Values
  • Conditional Columns
  • Index Columns
  • Pivot Data
  • Unpivot Data
  • M Code Basics

Module 4: Data Modeling

  • Data Modeling Concepts
  • Fact Tables
  • Dimension Tables
  • Relationships
  • Cardinality
  • Cross Filter Direction
  • Star Schema
  • Snowflake Schema
  • Role Playing Dimensions
  • Auto Date/Time
  • Data Modeling Best Practices

Module 5: DAX (Basics)

  • Introduction to DAX
  • Calculated Columns
  • Measures
  • SUM Function
  • COUNT Function
  • DISTINCTCOUNT Function
  • AVERAGE Function

Module 6: Advanced DAX

  • Row Context
  • Filter Context
  • CALCULATE Function
  • CALCULATETABLE Function
  • FILTER Function
  • ALL Function
  • ALLEXCEPT Function
  • Time Intelligence
  • Ranking Functions
  • Parent Child Functions
  • DAX Optimization

Module 7: Power BI Visualization

  • Charts
  • Bar Charts
  • Column Charts
  • Line Charts
  • Area Charts
  • Pie Charts
  • Donut Charts
  • Table
  • Matrix
  • Cards
  • KPIs
  • Funnel Charts
  • Gauge Charts
  • Slicers
  • Maps
  • Custom Visuals
  • Drill Down
  • Drill Through
  • Tooltips
  • Smart Narratives

Module 8: Report Design & Formatting

  • Report Layout
  • Themes
  • Custom Themes
  • Page Navigation
  • Buttons
  • Bookmarks
  • Visual Interactions
  • Alignment
  • Formatting
  • Conditional Formatting
  • Mobile Layout

Module 9: Power BI Service (Cloud)

  • Power BI Workspace
  • Publishing Reports
  • Dashboards
  • Tiles
  • Pinning
  • Scheduled Refresh
  • Gateway
  • Sharing
  • Collaboration
  • App Creation
  • Row Level Security
  • Usage Metrics

Module 10: Power BI Admin & Security

  • Gateway Installation
  • Gateway Configuration
  • Data Privacy Levels
  • Roles
  • Permissions
  • Workspace Settings
  • Dataset Security
  • Tenant Settings

Module 11: Power BI Performance Optimization

  • Model Size Optimization
  • Query Optimization
  • DAX Optimization
  • Performance Analyzer
  • Large Dataset Handling

Module 12: Real-Time Projects

  • Sales Dashboard
  • Finance Dashboard
  • HR Analytics Dashboard
  • Operations Dashboard
  • Marketing Dashboard
  • E-Commerce Dashboard
  • End-to-End Power BI Project

Why Learn Power BI?

Power BI is a powerful tool for interactive data visualization and business intelligence. Learning it helps you create dashboards, reports, and real-time insights, enabling data-driven decisions. It’s highly valued by analysts, managers, and professionals in business intelligence, reporting, and analytics.

Future Scope After Learning Power BI

Power BI professionals can pursue careers as a Business Intelligence Analyst, Data Analyst, BI Developer, Reporting Specialist, or Analytics Manager, with opportunities in IT, finance, healthcare, retail, and consulting. Its demand continues to grow as businesses rely on data visualization for strategy and operations.

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