PowerBI Zero to Hero Course Syllabus

Full curriculum breakdown — modules, lessons, estimated time, and outcomes.

An all-in-one Power BI course that takes you from data import to advanced DAX analytics and cloud publishing, empowering you to become a BI hero. This course spans over 6 hours of hands-on learning, covering essential skills from data transformation and modeling to advanced analytics and report deployment in the Power BI Service. You'll gain practical experience through real-world exercises and build a solid foundation for a career in business intelligence.

Module 1: Getting Started with Power BI Desktop

Estimated time: 0.5 hours

  • Installing Power BI Desktop and overview of the interface
  • Connecting to Excel and CSV data sources
  • Connecting to SQL Server databases
  • Navigating the Power BI Desktop environment

Module 2: Data Transformation with Power Query

Estimated time: 1 hour

  • Shaping and cleaning data using filters and transformations
  • Merging and appending queries
  • Unpivoting and normalizing data
  • Creating reusable query parameters and custom functions

Module 3: Data Modeling & Relationships

Estimated time: 1 hour

  • Defining tables and primary keys
  • Creating relationships between tables
  • Designing a star schema for optimal performance
  • Best practices for data model design

Module 4: Introduction to DAX

Estimated time: 1 hour

  • Understanding calculated columns vs. measures
  • Using basic DAX functions: SUM, AVERAGE, FILTER
  • Implementing time intelligence: year-to-date, moving averages
  • Comparing periods and calculating growth rates

Module 5: Advanced DAX Techniques

Estimated time: 1 hour

  • Understanding context transition in DAX
  • Using iterator functions: SUMX, AVERAGEX
  • Working with variables in DAX expressions
  • Creating hierarchies and dynamic segments
  • Building custom groups and conditional logic

Module 6: Report Design & Interactivity

Estimated time: 0.75 hours

  • Designing interactive reports with bookmarks
  • Implementing drill-through and tooltip pages
  • Using slicer sync across multiple visuals
  • Applying custom visuals and themes for branding

Module 7: Power BI Service & Collaboration

Estimated time: 0.75 hours

  • Publishing reports to the Power BI Service
  • Managing workspaces and apps
  • Configuring row-level security (RLS)
  • Setting up data refresh and sharing dashboards

Module 8: Performance Optimization & Best Practices

Estimated time: 0.5 hours

  • Understanding query folding and its benefits
  • Optimizing data models for performance
  • Using the Performance Analyzer tool
  • Applying governance best practices: version control, usage metrics, and documentation

Prerequisites

  • Familiarity with basic Excel operations
  • Basic understanding of databases and tables
  • Access to a Windows machine for Power BI Desktop installation

What You'll Be Able to Do After

  • Connect to and transform data from diverse sources using Power Query
  • Design accurate data models with proper relationships and star schema principles
  • Create advanced DAX measures and calculated columns for real-world analytics
  • Build interactive, visually compelling reports with bookmarks, drill-through, and slicers
  • Publish, secure, and maintain reports in the Power BI Service for team collaboration
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