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Course Outline

Introduction

Power BI Architectural Design

Data Sources

  • On-premises and cloud-based data origins
  • Data reshaping techniques + M language
  • Direct integrations with specific sources (SQL Server, OLAP)

Data Modeling

Table Relationships (unidirectional and bidirectional data filtering)

  • DAX - Exploring syntax and recommended practices
  • Introduction to DAX
    • Frequently utilized functions and calculation contexts
    • Handling time-based dimensions (covering fiscal periods, period comparisons, YTD)
    • Functions for normalizing parent-child hierarchies
    • Filtering functions
    • DAX templates

Visualizations

  • Interactive data examination
  • Choosing the most suitable visualization type
  • Filters, grouping, and exclusions
  • Geospatial visualization
  • Enhanced visuals (custom visual elements)

Data Access Control - Row-Level Security

Collaboration and Mobile Usage in Power BI

  • Dashboards and reports
  • Q & A functionality
  • Workspaces and mobile applications

Conclusion and Future Directions

Requirements

  • A foundational grasp of core data principles
  • Practical experience with Excel or comparable data management tools
  • Knowledge of general business or operational analytical practices

Target Audience

  • Business analysts
  • Data professionals
  • Individuals seeking to utilize data visualization tools for strategic insights
 14 Hours

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