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 Duration 14 hours

Course Outline

Review and Principles of Data Model Design

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

Foundations of DAX (Data Analysis Expressions)

  • DAX syntax and applicable 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)
  • Implementing conditional logic and dynamic calculations
  • Calculating rankings, running totals, and comparative metrics

Data Transformation and Performance Optimization

  • Utilizing Power Query for complex transformations
  • Efficiently integrating multiple data sources
  • Enhancing performance via query folding and relationship management

Advanced Visualizations and Interactivity

  • Incorporating custom visuals and marketplace extensions
  • Utilizing drill-downs, bookmarks, and what-if parameters
  • Developing paginated and dynamic reports

Performance Management and Governance in Power BI

  • Best practices for managing datasets
  • Optimizing refresh schedules and query efficiency
  • Implementing row-level security (RLS)

Practical Project: Creating a Sales Intelligence Dashboard

  • Defining 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 creation basics
  • Practical experience in building dashboards within 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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