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 Duration 14 hours

Course Outline

Review and Data Model Design Fundamentals

  • Comprehending the data modeling layer within Power BI
  • Concepts of star and snowflake schemas
  • Establishing and managing inter-table relationships

Introduction to DAX (Data Analysis Expressions)

  • DAX syntax and data type structures
  • 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 computation
  • Ranking, running totals, and comparative analysis

Data Transformation and Performance Optimization

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

Advanced Visualizations and User Interactivity

  • Implementing custom visuals and market extensions
  • Utilizing drill-downs, bookmarks, and what-if parameters
  • Generating paginated and dynamic reports

Power BI Performance and Governance

  • Best practices for dataset administration
  • Optimizing refresh schedules and query efficiency
  • Configuring row-level security (RLS)

Practical Project: Constructing a Sales Intelligence Dashboard

  • Formulating KPIs using DAX measures
  • Designing a model-centric dashboard for strategic insights
  • Applying governance standards and sharing protocols

Conclusion and Future Directions

Requirements

  • A solid understanding of the Power BI interface and report creation
  • Practical experience in constructing dashboards within Power BI
  • Fundamental familiarity with data relationships and filtering mechanisms

Target Audience

  • Business intelligence professionals
  • Data analysts and reporting specialists
  • Developers engaged in data visualization and analytics

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