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Course Outline

Summary and Foundations of Data Modeling

  • Overview of the Power BI data modeling architecture
  • Application of star and snowflake schema frameworks
  • Establishment and administration of table relationships

Overview of Data Analysis Expressions (DAX)

  • DAX syntax conventions and data type classifications
  • Differentiation between calculated columns and measures
  • Utilization of standard DAX functions: SUMX, CALCULATE, FILTER, RELATED

Advanced DAX Techniques and Business Logic Implementation

  • Application of time intelligence functions (year-to-date, month-to-date, quarter-to-date)
  • Implementation of conditional logic and dynamic calculation methods
  • Development of ranking systems, running totals, and comparative performance metrics

Data Transformation and Performance Optimization

  • Execution of advanced transformations using Power Query
  • Efficient integration and consolidation of disparate data sources
  • Enhancement of query performance through query folding and relationship optimization

Advanced Visualization and Interactivity Features

  • Integration of custom visuals and marketplace extensions
  • Configuration of drill-through capabilities, bookmarks, and what-if parameters
  • Development of paginated and dynamic reporting solutions

Performance Management and Governance in Power BI

  • Adherence to best practices for dataset lifecycle management
  • Optimization of data refresh schedules and query efficiency
  • Deployment of row-level security (RLS) protocols for data protection

Practical Application: Development of a Sales Intelligence Dashboard

  • Definition of key performance indicators (KPIs) via DAX measures
  • Design of model-driven dashboards to support strategic decision-making
  • Application of governance standards and secure sharing practices for government** stakeholders

Conclusion and Path Forward

Requirements

**Prerequisites** * Proficiency in navigating the Power BI environment and generating reports. * Demonstrated capability in designing interactive dashboards within the Power BI ecosystem. * Foundational knowledge of data modeling concepts, including relationship mapping and filter application. **Target Audience** * Business intelligence practitioners. * Data analysts and reporting specialists. * Professionals engaged in data visualization and analytics development for government initiatives.
 14 Hours

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