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Course Outline

Introduction

Power BI Architecture

Data Sources

  • On-premises and online data sources
  • Data transformations and M language
  • Direct connections to specific sources (SQL Server, OLAP)

Modeling

Table Relationships (Single and Multi-directional Data Filtering)

  • DAX - Exploring syntax and best practices
  • Introduction to DAX
    • Commonly used functions and calculation context
    • Handling the time dimension (including fiscal periods, period comparisons, and YTD)
    • Functions for creating parent-child hierarchies
    • Filter functions
    • DAX templates

Visualizations

  • Interactive data analysis
  • Selecting the most appropriate visualization
  • Filters, grouping, and exclusions
  • Geospatial visualizations on maps
  • Enhancing visuals with custom elements

Data Access Management - Row-Level Security

Collaboration and Mobile Use with Power BI

  • Dashboards and reports
  • Q & A mechanism
  • Workspaces and Mobile applications

Summary and Next Steps

Requirements

  • A solid understanding of fundamental data concepts
  • Practical experience with Excel or comparable data tools
  • Familiarity with general business or operational analysis

Target Audience

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

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