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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 selected sources (SQL Server, OLAP)

Modeling

Table relationships (single and multidirectional data filtering)

  • DAX - Syntax comprehension and best practices
  • DAX Introduction
    • Commonly used functions and calculation contexts
    • Working with the time dimension (fiscal periods, period comparisons, YTD)
    • Functions for naturalizing parent-child hierarchies
    • Filter functions
    • DAX templates

Visualizations

  • Interactive data analysis
  • Selecting the appropriate visualization
  • Filters, grouping, and exclusions
  • Map-based visualizations
  • 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 foundational understanding of basic data concepts
  • Experience using Excel or similar data analysis 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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