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 Duration 14 hours

Course Outline

Review and Data Model Design Principles

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

Getting Started with DAX (Data Analysis Expressions)

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

Advanced DAX and Business Logic

  • Time intelligence functions (YTD, MTD, QTD)
  • Conditional logic and dynamic calculations
  • Ranking, cumulative totals, and comparative metrics

Data Transformation and Optimization

  • Utilizing Power Query for complex transformations
  • Integrating multiple data sources efficiently
  • Enhancing performance via query folding and relationships

Advanced Visualizations and Interactivity

  • Custom visuals and marketplace extensions
  • Drill-downs, bookmarks, and what-if parameters
  • Developing paginated and dynamic reports

Performance and Governance in Power BI

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

Practical Project: Developing a Sales Intelligence Dashboard

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

Wrap-up and Future Steps

Requirements

  • Knowledge of the Power BI interface and report development
  • Experience in constructing dashboards within Power BI
  • Fundamental familiarity with data relationships and filtering

Target Audience

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

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