Power BI Masterclass – Beginners to Advanced Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview: This comprehensive Power BI masterclass is designed for beginners and takes you step-by-step from foundational concepts to advanced analytics and deployment. You'll learn through hands-on exercises and real-world scenarios, building practical skills in data transformation, modeling, DAX, interactive reporting, and performance optimization. With approximately 6 hours of on-demand content, this course prepares you to create impactful business intelligence solutions using Power BI Desktop and Service.
Module 1: Getting Started with Power BI Desktop
Estimated time: 0.5 hours
- Installing Power BI Desktop and navigating the interface
- Loading and previewing sample datasets
- Connecting to Excel and CSV files
- Performing basic data preview and transformation
Module 2: Data Transformation with Power Query
Estimated time: 1 hour
- Shaping data using filters, splits, and merges
- Unpivoting and pivoting data columns
- Creating custom columns and calculated fields
- Building reusable parameters and functions for ETL automation
Module 3: Data Modeling & Relationships
Estimated time: 1 hour
- Defining tables and managing data types
- Creating one-to-many and many-to-many relationships
- Designing star schemas for analytical efficiency
- Using auto-detect vs. manual relationship configuration
Module 4: Introduction to DAX Basics
Estimated time: 1 hour
- Understanding calculated columns vs. measures
- Using core aggregation functions: SUM, AVERAGE, COUNT
- Creating date tables and basic time-intelligence calculations
- Implementing year-to-date and quarter-over-quarter comparisons
Module 5: Advanced DAX & Analytics
Estimated time: 1 hour
- Writing iterator functions: SUMX, AVERAGEX
- Using variables and context transition in DAX
- Advanced time-intelligence calculations
- Dynamic segmentation with SWITCH and USERELATIONSHIP
Module 6: Report Design & Interactivity
Estimated time: 1 hour
- Adding slicers, drill-throughs, and bookmarks
- Designing tooltips and button navigation
- Applying custom visuals and theming
- Ensuring accessibility and layout best practices
Module 7: Power BI Service & Collaboration
Estimated time: 0.75 hours
- Publishing reports to Power BI Service
- Setting up workspaces and sharing apps
- Configuring row-level security and data alerts
- Scheduling dataset refreshes
Module 8: Performance Tuning & Best Practices
Estimated time: 0.75 hours
- Optimizing queries with query folding
- Implementing incremental refresh for large datasets
- Using Performance Analyzer to identify bottlenecks
- Leveraging aggregations for faster report rendering
Prerequisites
- Familiarity with basic Excel functions
- Understanding of fundamental data concepts (e.g., rows, columns, tables)
- No prior Power BI experience required
What You'll Be Able to Do After
- Connect to and transform data from multiple sources including Excel, SQL, and web APIs
- Build efficient data models using star schemas and proper relationship design
- Write advanced DAX formulas for dynamic business calculations
- Create interactive, visually compelling dashboards with slicers and drill-throughs
- Deploy secure, high-performance reports using Power BI Service