Module 1: Introduction to Power BI (Beginner)
- What is Business Intelligence (BI)?
- Overview of Power BI ecosystem: Desktop, Service, Mobile
- Installation & setup of Power BI Desktop
- Power BI Interface – Ribbon, Views, and Panels
- Connecting to data sources (Excel, CSV, Web, SQL, etc.)
- Understanding Data Types and Data Models
Practical: Import data from Excel and create a simple bar chart.
Module 2: Data Transformation with Power Query
- Introduction to Power Query Editor
- Data cleaning: remove duplicates, filter rows, split columns
- Data shaping: pivot, unpivot, merge & append queries
- Data profiling: column quality, distribution, profile
- Conditional columns and custom columns
- Best practices in ETL (Extract, Transform, Load)
Practical: Clean messy sales data using Power Query.
Module 3: Data Modeling (Intermediate)
- Introduction to Data Models
- Relationships: One-to-Many, Many-to-Many
- Star vs Snowflake schema
- Hierarchies (Date hierarchy, product hierarchy)
- Importance of Data Model design in performance
- Role of fact tables & dimension tables
Practical: Create a data model for sales & customers dataset.
Module 4: DAX Fundamentals (Intermediate)
- What is DAX (Data Analysis Expressions)?
- Calculated Columns vs Measures
- Basic DAX functions: SUM, COUNT, DISTINCT, AVERAGE
- Logical functions: IF, SWITCH
- Text & Date functions
- Introduction to Time Intelligence (YTD, MTD, QTD)
Practical: Create measures like Total Sales, Profit %, YoY Growth.
Module 5: Data Visualization & Reports
- Types of Visuals: Table, Matrix, Bar, Column, Line, Pie, Map
- Formatting visuals: colors, themes, tooltips
- Drill-through, Drill-down, and Cross-filtering
- Custom visuals from Marketplace
- Bookmarks & Selections for storytelling
- Buttons, shapes, and navigation
Practical: Create an interactive sales dashboard.
Module 6: Advanced DAX & Calculations
- CALCULATE and FILTER functions
- Advanced Time Intelligence (SamePeriodLastYear, PARALLELPERIOD)
- RANKX, ALL, REMOVEFILTERS
- Variables in DAX
- Performance optimization in DAX
Practical: Build advanced KPIs like rolling 12 months, rank by sales.
Module 7: Power BI Service (Cloud)
- Publishing reports to Power BI Service
- Workspaces, Apps, and Content Packs
- Dashboards vs Reports
- Row-Level Security (RLS)
- Sharing reports with stakeholders
- Scheduled refresh & gateways
Practical: Publish a dashboard and apply row-level security.
Module 8: Advanced Features & Integration
- Power BI with Excel (Analyze in Excel, Export)
- Power BI with SQL Server & Azure
- AI visuals: Q&A, Decomposition Tree, Key Influencers
- Paginated Reports (Report Builder)
- Power BI Dataflows
- Integration with Teams & SharePoint
Module 9: Performance Optimization
- Best practices for large datasets
- Optimizing DAX queries
- Aggregations & Incremental refresh
- Import vs DirectQuery vs Live Connection
Module 10: Capstone Project
- Build a full business dashboard (choose domain: Sales, HR, Finance, Marketing)
- Apply data cleaning, modeling, DAX, and visualization best practices
- Publish & share in Power BI Service
Course Outcome
By the end, learners will be able to:
✔ Import & clean raw data from multiple sources
✔ Build relationships & data models
✔ Write DAX measures from beginner to advanced
✔ Create interactive & dynamic dashboards
✔ Publish, share, and secure Power BI reports
✔ Apply BI best practices in real-world projects