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Course Outline

Introduction

Power BI Architecture

Data Sources

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

Modeling

Table relationships (unidirectional and bidirectional data filtering)

  • DAX - Exploring syntax and best practices
  • DAX Fundamentals
    • Frequently used functions and calculation contexts
    • Handling time dimensions (including fiscal periods, period comparisons, YTD)
    • Functions for naturalizing parent-child hierarchies
    • Filtering functions
    • DAX templates

Visualizations

  • Interactive data analysis
  • Selecting the most suitable visualization types
  • Applying filters, grouping, and exclusions
  • Geospatial visualizations on maps
  • Enhancing visuals (custom visuals)

Data Access Management - Row-Level Security

Collaboration and Mobile Usage with Power BI

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

Summary and Next Steps

Requirements

  • Foundational knowledge of basic data principles
  • Proficiency with Excel or comparable data handling tools
  • Exposure to general business or operational analytics

Target Audience

  • Business analysts
  • Data professionals
  • Individuals seeking to apply data visualization tools for generating insights
 14 Hours

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