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Course Outline

Review and Data Modelling Design Principles

  • Exploring the data modelling layer within Power BI.
  • Concepts of star and snowflake schemas.
  • Establishing and maintaining relationships between tables.

Fundamentals of DAX (Data Analysis Expressions)

  • DAX syntax and data type structures.
  • Distinguishing between calculated columns and measures.
  • Essential DAX functions: SUMX, CALCULATE, FILTER, and RELATED.

Advanced DAX and Business Logic

  • Utilising time intelligence functions (YTD, MTD, QTD).
  • Implementing conditional logic and dynamic calculations.
  • Creating rankings, running totals, and comparative metrics.

Data Transformation and Optimisation

  • Utilising Power Query for sophisticated data transformations.
  • Efficiently integrating multiple data sources.
  • Enhancing performance through query folding and relationship management.

Enhanced Visualisations and Interactivity

  • Incorporating custom visuals and marketplace extensions.
  • Utilising drill-downs, bookmarks, and what-if parameters.
  • Developing paginated and dynamic reports.

Performance and Governance in Power BI

  • Best practices for managing datasets.
  • Optimising refresh schedules and query execution.
  • Implementing row-level security (RLS).

Practical Project: Constructing a Sales Intelligence Dashboard

  • Defining KPIs using DAX measures.
  • Designing a model-driven dashboard to drive business insights.
  • Applying governance and sharing best practices.

Summary and Future Directions

Requirements

  • Familiarity with the Power BI interface and report generation.
  • Practical experience in building dashboards within Power BI.
  • Foundational knowledge of data relationships and filtering mechanisms.

Target Audience

  • Business intelligence specialists.
  • Data analysts and reporting experts.
  • Developers engaged in data visualisation and analytics.
 14 Hours

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