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Module · Elective/Data Science & Econometrics

Data Visualisation

Students learn how to import and prepare data, construct data models, create clear visualisations and publish interactive reports. The module combines practical Power BI skills with the principles needed to select effective visual forms and communicate evidence to different audiences.

Delivery

Live online lectures and tutorials, conducted at scheduled times and recorded for review.

Study Hours

Approximately 100 hours of study, of which 15 are contact hours and 85 are private study.

Software Used

Power BI

Credits

10 CATS credits

Module Lead
Victor Levallois

Victor Levallois

Programme Faculty

Key Outcomes

  • —Use Power BI confidently
  • —Import, prepare and model data
  • —Create effective and accessible visualisations
  • —Publish and share interactive reports
  • —Tell clear and compelling stories with data

Lecture Programme

  1. WK 01

    Introduction to data visualisation

    • ·Principles of effective visual communication
    • ·Introduction to business intelligence tools
  2. WK 02

    Importing and preparing data

    • ·Connecting to data sources
    • ·Cleaning and transforming data
  3. WK 03

    Data modelling

    • ·Structuring data for analysis
    • ·Relationships and measures
  4. WK 04

    Visualisations in Power BI

    • ·Selecting suitable visual forms
    • ·Designing interactive reports
  5. WK 05

    Publishing and sharing reports

    • ·Publishing Power BI reports
    • ·Sharing insights and telling stories with data

Assessment

Online coursework submission with support from the module lecturer and tutor.

Build your qualification

Take Data Visualisation as a standalone module, or as part of a buildable MSc.