Power BI Training
Transform raw data into powerful insights using Microsoft Power BI, dashboards, and advanced analytics. Learn to visualize and share business intelligence effectively.
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Power BI Curriculum
- Introduction to Business Intelligence: Traditional BI vs Self-Service BI
- Power BI Product Suite: Desktop, Service, Pro, Premium & Mobile
- Installing Power BI Desktop & Setting Up Your First Workspace
- The Power BI Workflow: Data Import → Transform → Model → Visualize → Share
- Understanding Power BI Licensing: Free, Pro, Premium Per User & Premium Capacity
- Navigating Power BI Desktop Interface: Ribbon, Fields, Filters & Visualizations Panes
- Power BI Mobile App: Viewing Reports & Setting Alerts on Mobile Devices
- Project: Creating Your First Interactive Sales Report from an Excel Dataset
- Connecting to Data Sources: Excel, CSV, SQL Server, Web APIs & SharePoint
- Power Query Editor: Filtering, Sorting & Removing Duplicates
- Data Transformation: Splitting Columns, Merging Queries & Unpivoting Data
- Appending Queries: Combining Multiple Tables into a Single Dataset
- Conditional Columns & Custom Columns for Data Enrichment
- Introduction to M Language: Writing Custom Power Query Functions
- Query Folding & Performance Optimization Best Practices
- Working with Parameters for Dynamic Data Sources
- Project: Building an ETL Pipeline to Clean & Combine Multi-source HR Data
- Star Schema Design: Fact Tables, Dimension Tables & Lookup Tables
- Creating & Managing Relationships: 1:1, 1:Many & Many:Many Cardinality
- Cross-filter Direction: Single vs Both & Performance Implications
- Handling Circular Dependencies & Active/Inactive Relationships
- Building Date Tables & Hierarchies (Year → Quarter → Month → Day)
- Calculated Columns vs Measures: Understanding When to Use Each
- Optimizing Data Models: Hiding Fields, Renaming & Organizing Tables
- Project: Designing a Star Schema Model for an E-commerce Analytics Platform
- DAX Fundamentals: Syntax, Data Types & Evaluation Context
- Understanding Filter Context vs Row Context in DAX
- Core Functions: SUM, AVERAGE, COUNT, DISTINCTCOUNT & MIN/MAX
- CALCULATE Function: The Most Powerful Function in DAX
- FILTER, ALL, ALLEXCEPT & RELATED Functions for Advanced Filtering
- Time Intelligence: YTD, MTD, QTD, SAMEPERIODLASTYEAR & YoY Growth
- Iterator Functions: SUMX, AVERAGEX, COUNTX for Row-level Calculations
- Variables in DAX: Improving Readability with VAR & RETURN
- Project: Building a Financial KPI Dashboard with Advanced DAX Calculations
- Visualization Catalog: Bar, Column, Line, Area, Pie, Donut & Waterfall Charts
- Maps & Geospatial: Azure Maps, Filled Maps & ArcGIS Integration
- Drill-down, Drill-through & Cross-highlighting for Data Exploration
- Slicers & Sync-slicers for Interactive Filtering Across Pages
- Conditional Formatting: Color Scales, Data Bars & Icons on Tables/Matrices
- Bookmarks, Buttons & Page Navigation for Interactive Storytelling
- Custom JSON Themes for Corporate Branding & Visual Consistency
- Tooltips: Custom Report Page Tooltips for Rich Hover Experiences
- Project: Creating a Multi-page Executive Dashboard with Navigation & Bookmarks
- Publishing Reports to Power BI Service from Desktop
- Workspace Management: Dev, Test & Production Environments
- Creating Dashboards: Pinning Visuals & Real-time Tiles
- Data Gateway Configuration: Personal vs Enterprise Gateways
- Scheduled Refresh & Incremental Refresh for Large Datasets
- Dataflows: Reusable ETL in Power BI Service
- Content Distribution: Apps, Sharing Links & Embedding in SharePoint/Teams
- Project: Setting Up an Automated Refresh Pipeline with On-premises Data Gateway
- Row-Level Security (RLS): Static & Dynamic Security Roles
- Object-Level Security (OLS): Hiding Columns & Tables from Users
- Workspace Roles: Viewer, Contributor, Member & Admin Permissions
- Sensitivity Labels: Microsoft Purview (MIP) Labels for Data Classification
- Audit Logs & Usage Metrics: Monitoring Report Views & User Activity
- Tenant Settings & Admin Portal Configuration
- Deployment Pipelines: Promoting Content from Dev → Test → Production
- Project: Implementing RLS for a Multi-region Sales Report
- AI-Powered Visuals: Key Influencers, Decomposition Trees & Smart Narratives
- Q&A Visual: Configuring Natural Language Queries for Business Users
- Anomaly Detection & Forecasting on Line Charts
- Paginated Reports: Pixel-perfect Reports with Power BI Report Builder
- Performance Analyzer: Identifying Slow Queries & Visual Bottlenecks
- DAX Studio: Advanced Debugging & Query Performance Optimization
- Composite Models: DirectQuery + Import for Real-time & Historical Data
- Project: Building an Enterprise Sales Analytics Platform with AI Insights & RLS