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 Duration 14 hours

Course Outline

Reviewing Data Model Design Principles

  • Comprehending the data modeling layer within Power BI.
  • Star and snowflake schema concepts.
  • Establishing and managing relationships between tables.

Getting Started with 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 calculation techniques.
  • Ranking, running totals, and comparative metrics.

Data Transformation and Optimization

  • Executing advanced transformations using Power Query.
  • Efficiently consolidating multiple data sources.
  • Enhancing performance through query folding and relationship optimization.

Advanced Visualizations and Interactivity

  • Utilizing custom visuals and market extensions.
  • Implementing drill-downs, bookmarks, and what-if parameters.
  • Developing 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: Developing a Sales Intelligence Dashboard

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

Conclusion and Next Steps

Requirements

  • Familiarity with the Power BI interface and report creation workflows.
  • Practical experience in constructing dashboards using Power BI.
  • Foundational knowledge of data relationships and filtering mechanisms.

Target Audience

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

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