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Course Outline

Recap and Data Model Design Principles

  • Understanding the data modeling layer in Power BI.
  • Star and snowflake schema concepts.
  • Creating and managing relationships between tables.

Introduction to DAX (Data Analysis Expressions)

  • DAX syntax and data types.
  • Calculated columns vs. measures.
  • Common 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

  • Working with Power Query for advanced transformations.
  • Combining multiple data sources efficiently.
  • Improving performance through query folding and relationships.

Enhanced Visualizations and Interactivity

  • Custom visuals and market 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 with DAX measures.
  • Designing a model-driven dashboard for business insights.
  • Applying governance and sharing best practices.

Summary and Next Steps

Requirements

  • A solid understanding of the Power BI interface and report creation.
  • Experience building dashboards in Power BI.
  • Basic familiarity with data relationships and filters.

Audience

  • Business intelligence professionals.
  • Data analysts and reporting specialists.
  • Developers working with data visualization and analytics.
 14 Hours

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