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Course Outline

Review and Principles of Data Model Design

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

Foundations of DAX (Data Analysis Expressions)

  • DAX syntax and data typing
  • Differences between calculated columns and measures
  • Essential DAX functions: SUMX, CALCULATE, FILTER, RELATED

Advanced DAX and Business Logic Implementation

  • Time intelligence functions (YTD, MTD, QTD)
  • Conditional logic and dynamic calculation methods
  • Ranking systems, running totals, and comparative metrics

Data Transformation and Optimization Strategies

  • Utilizing Power Query for sophisticated transformations
  • Integrating multiple data sources with efficiency
  • Enhancing performance via query folding and relationship management

Advanced Visualizations and Interactivity Features

  • Custom visuals and marketplace extensions
  • Drill-down capabilities, bookmarks, and what-if parameters
  • Generating paginated and dynamic reports

Performance Management and Governance in Power BI

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

Practical Project: Constructing a Sales Intelligence Dashboard

  • Creating KPIs using DAX measures
  • Structuring a model-driven dashboard for business insights
  • Applying governance and sharing best practices

Conclusion and Future Directions

Requirements

  • A solid grasp of the Power BI interface and report generation
  • Practical experience in creating dashboards within Power BI
  • Fundamental understanding of data relationships and filtering mechanisms

Audience

  • Business intelligence specialists
  • Data analysts and reporting experts
  • Developers focused on data visualization and analytics
 14 Hours

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