Analyzing and Visualizing Data with Power BI Training Course

  • Analyzing and Visualizing Data with Power BI Training Course
  • Spain - Madrid

Analyzing and Visualizing Data with Power BI Training Course

Course Category : Data Management

This course focuses on enabling participants to transform raw data into meaningful insights using Power BI by developing interactive reports and dashboards that support data-driven organisational decision-making.
Duration: 5 Days – Level: Intermediate.

Starts On

25 - May - 2026

Ends On

29 - May - 2026

Location

Spain - Madrid

Language

English

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View Course Introductory PDF

Targeted Audience

  • Data Analysts
  • Business Intelligence Professionals
  • Managers and Decision Makers
  • IT Professionals
  • Students and Academic Researchers
  • Digital Transformation Specialists
  • Anyone seeking professional Power BI skills

Targeted Skills

  • Data analysis using Power BI
  • Data cleansing and transformation
  • Effective data modelling
  • Professional data visualisation
  • Advanced DAX calculations
  • Interactive dashboard design
  • Report sharing and collaboration
  • Performance optimisation

Expected Outcomes

  • Understand Power BI architecture and its role in BI.
  • Import and clean data from multiple sources.
  • Build effective data models and relationships.
  • Design meaningful and clear visualisations.
  • Use DAX for analytical calculations and measures.
  • Develop interactive dashboards for decision support.
  • Apply best practices in data visualisation.
  • Publish and share reports securely across teams.

Training Topics Index

  • Power BI overview
  • Interface and components
  • Importance of data visualisation
  • Business use cases
  • End-to-end BI workflow

  • Multiple data sources
  • Power Query Editor
  • Data cleansing and shaping
  • Data relationships
  • Data modelling basics

  • Chart types
  • Visual formatting
  • Filters and slicers
  • Drill-through and interactivity
  • Visual design principles

  • Introduction to DAX
  • Calculated columns and measures
  • Time intelligence
  • Trend analysis
  • Model optimisation

  • Publishing to Power BI Service
  • Permissions management
  • Team collaboration
  • Scheduled refresh
  • Integration options