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 Duration 14 hours

Course Outline

Review and Data Model Design Principles

  • Comprehending the data modeling layer within Power BI
  • Concepts of star and snowflake schemas
  • Establishing and managing relationships between tables

Introduction to DAX (Data Analysis Expressions)

  • DAX syntax and data types
  • Distinguishing 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 advanced transformations
  • Efficiently combining multiple data sources
  • Enhancing performance via query folding and relationship management

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

  • Creating 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 processes
  • Experience in building dashboards using Power BI
  • Basic knowledge of data relationships and filtering mechanisms

Audience

  • Business intelligence specialists
  • Data analysts and reporting experts
  • Developers focused on data visualization and analytics

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