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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 (such as SQL Server and OLAP)

Modelling

Table relationships (single and multi-directional data filtering)

  • DAX - Mastering syntax and best practices
  • Introduction to DAX
    • Essentially used functions and calculation contexts
    • Handling time dimensions (including fiscal periods, period comparisons, and YTD)
    • Functions for normalising parent-child hierarchies
    • Filtering functions
    • DAX templates

Visualisations

  • Interactive data exploration
  • Selecting the most appropriate visualisation types
  • Applying filters, grouping, and exclusions
  • Geospatial visualisations on maps
  • Enhancing visualisations with custom visuals

Data Access Management - Row-Level Security

Collaboration and Mobility with Power BI

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

Summary and Future Steps

Requirements

  • A solid grasp of fundamental data concepts
  • Practical experience with Excel or comparable data management tools
  • General familiarity with business or operational analysis methodologies

Target Audience

  • Business analysts
  • Data professionals
  • Individuals seeking to utilise data visualisation tools to drive insights
 14 Hours

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