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Course Outline

Recap and Data Model Design Principles

  • Grasping the data modeling layer in Power BI
  • Concepts of star and snowflake schemas
  • Establishing and managing table relationships

Introduction to DAX (Data Analysis Expressions)

  • DAX syntax and data types
  • Differences between calculated columns and measures
  • Essential DAX functions: SUMX, CALCULATE, FILTER, RELATED

Advanced DAX and Business Logic

  • Time intelligence functions (YTD, MTD, QTD)
  • Conditional logic and dynamic calculations
  • Ranking, running totals, and comparative metrics

Data Transformation and Optimization

  • Utilizing Power Query for complex transformations
  • Efficiently integrating multiple data sources
  • Boosting performance via query folding and relationships

Enhanced Visualizations and Interactivity

  • Custom visuals and marketplace extensions
  • Drill-downs, bookmarks, and what-if parameters
  • Creating paginated and dynamic reports

Performance and Governance in Power BI

  • Best practices for dataset management
  • Optimizing refresh schedules and query performance
  • Implementing row-level security (RLS)

Hands-on Project: Building a Sales Intelligence Dashboard

  • Developing KPIs using DAX measures
  • Designing a model-driven dashboard for business insights
  • Applying governance and sharing best practices

Summary and Next Steps

Requirements

  • Familiarity with the Power BI interface and report creation
  • Experience in developing dashboards within Power BI
  • Basic knowledge of data relationships and filtering

Target Audience

  • Business intelligence professionals
  • Data analysts and reporting specialists
  • Developers engaged in data visualization and analytics
 14 Hours

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