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 Duration 14 hours

Course Outline

Review and Data Model Design Principles

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

Overview of DAX (Data Analysis Expressions)

  • DAX syntax and data type handling
  • Distinguishing between calculated columns and measures
  • Key DAX functions: SUMX, CALCULATE, FILTER, RELATED

Advanced DAX and Business Logic

  • Utilizing time intelligence functions (YTD, MTD, QTD)
  • Applying conditional logic and dynamic calculations
  • Implementing ranking, running totals, and comparative metrics

Data Transformation and Optimization

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

Enhanced Visualizations and Interactivity

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

Performance and Governance in Power BI

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

Practical 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

Summary and Next Steps

Requirements

  • A solid grasp of the Power BI interface and report creation processes
  • Practical experience in constructing dashboards within Power BI
  • Fundamental knowledge of data relationships and filtering mechanisms

Audience

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

Testimonials (4)

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