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Course Outline

Introduction

Power BI Architecture

Data sources

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

Modeling

Table relationships (single and multidirectional data filtering)

  • DAX - Mastering syntax and best practices
  • Introduction to DAX
    • Frequently used functions and calculation contexts
    • Working with the time dimension (including fiscal periods, period comparisons, and YTD)
    • Functions for structuring parent-child hierarchies
    • Filter functions
    • DAX templates

Visualizations

  • Interactive data analysis
  • Selecting the appropriate visualization
  • Filters, grouping, and exclusions
  • Visualization on maps
  • Visualization enhancements (custom visuals)

Data Access Management - Row-Level Security

Collaboration and mobile usage with Power BI

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

Summary and Next Steps

Requirements

  • A grasp 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 deriving insights
 14 Hours

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