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 Duration 14 hours

Course Outline

Review of Fundamentals and Data Modeling Principles

  • Exploring the data modeling layer within Power BI.
  • Concepts of star and snowflake schemas.
  • Establishing and maintaining relationships across tables.

Foundations of DAX (Data Analysis Expressions)

  • DAX syntax and data types.
  • Distinguishing between calculated columns and measures.
  • Key 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 relationship design.

Advanced Visualizations and Interactivity

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

Performance and Governance in Power BI

  • Best practices for managing datasets.
  • Refining refresh schedules and query performance.
  • Implementing row-level security (RLS).

Practical Project: Constructing a Sales Intelligence Dashboard

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

Conclusion and Future Directions

Requirements

  • Familiarity with the Power BI interface and report generation.
  • Practical experience in creating dashboards within Power BI.
  • Foundational knowledge of data relationships and filtering mechanisms.

Audience

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

Testimonials (4)

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