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 Duration 14 hours

Course Outline

Reviewing Data Modelling Design Principles

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

Foundations of DAX (Data Analysis Expressions)

  • DAX syntax structures and data typing
  • Distinguishing between calculated columns and measures
  • Key DAX functions: SUMX, CALCULATE, FILTER, RELATED

Advanced DAX and Business Logic

  • Time intelligence functions (YTD, MTD, QTD)
  • Conditional logic and dynamic computation
  • Ranking, cumulative totals, and comparative analysis

Data Transformation and Optimisation

  • Utilising Power Query for sophisticated transformations
  • Integrating multiple data sources with efficiency
  • Enhancing performance via query folding and relational integrity

Advanced Visualisations and Interactivity

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

Performance Management and Governance in Power BI

  • Best practices for managing datasets
  • Refining refresh schedules and query efficiency
  • Implementing row-level security (RLS)

Practical Project: Constructing a Sales Intelligence Dashboard

  • Developing KPIs using DAX measures
  • Designing model-driven dashboards for business insights
  • Applying governance and sharing best practices

Conclusion and Future Directions

Requirements

  • Familiarity with the Power BI interface and report generation workflows
  • Experience in constructing dashboards within Power BI
  • Foundational knowledge of data relationships and filtering mechanisms

Target Audience

  • Business intelligence specialists
  • Data analysts and reporting experts
  • Developers focused on data visualisation and analytics

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Provisional Upcoming Courses (Require 5+ participants)

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