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Course Outline

Data Modeling and Architecture Principles

  • Overview of the data modeling framework in Power BI
  • Foundations of star and snowflake schema architectures
  • Establishing and managing table relationships

Introduction to DAX (Data Analysis Expressions)

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

Advanced DAX Techniques and Business Logic

  • Time intelligence functions (YTD, MTD, QTD)
  • Conditional logic and dynamic calculation methods
  • Rankings, cumulative totals, and comparative analysis metrics

Data Transformation and Performance Optimization

  • Advanced data manipulation using Power Query
  • Efficient integration of multiple data sources
  • Enhancing performance through query folding and optimized relationships

Enhanced Visualizations and Interactivity

  • Utilization of custom visuals and marketplace extensions
  • Implementation of drill-throughs, bookmarks, and what-if parameters
  • Development of paginated and dynamic reporting formats

Performance Management and Governance in Power BI

  • Data set management best practices
  • Optimizing data refresh schedules and query execution
  • Deployment of row-level security (RLS) protocols

Practical Application: Sales Intelligence Dashboard Development

  • Construction of KPIs using DAX measures
  • Design of model-driven dashboards for actionable business insights
  • Application of governance standards and secure sharing practices

Summary and Strategic Next Steps

Requirements

  • Familiarity with the Power BI user interface and report development processes
  • Practical experience in designing dashboards using Power BI tools
  • Basic knowledge of establishing data relationships and applying filters

Audience

  • Business intelligence practitioners serving public sector needs for government operations
  • Data analysts and reporting specialists engaged in federal analytics workflows
  • Developers focusing on data visualization and analytical solutions for government applications
 14 Hours

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