Datavisualization - Graphics for Impact, Short Course | Part time online | University of Glasgow | United Kingdom
Microcredential Online

Datavisualization - Graphics for Impact

2 months
399 EUR/full
399 EUR/full
Tuition fee
Apply date
Start date


The aim of the Datavisualization - Graphics for Impact course at the University of Glasgow is to teach participants the skills to plan, create, and distribute data visualisations that aid decision making, enable effective reporting and tell clear messages. Moreover, the course introduces and applies standards for impactful, trustworthy and accessible visualisations.


The Datavisualization - Graphics for Impact course at the University of Glasgow teaches the practical computer skills to generate datavisualisations, to use them for analyses, to report them and to communicate them to a wide audience.

At the end of the course participants will be able to:

  • define and discuss different types of data visualisations and their uses, in the context of providing evidence for practical questions.
  • describe and discuss standards which make data visualisations impactful, trustworthy and accessible
  • use data visualisations to answer questions and tell “data stories” in the context of short reports.
  • plan, create, and distribute visualisations that allow easy communication, aid decision making, and empower users to learn from data, using the opensource software R and free Amazon Web Services.

Participants know and be able to apply what makes:

  • Impactful graphs that allow easy communication, aid decision making, and empower users to learn from data.
  • Trustworthy graphs that are transparent and clear about the data used and evidence provided.
  • Accessible graphs that comply with legal requirements and aesthetical guidance.

Career Prospects

The course is envisioned to be useful both for those seeking to use the skills in their current job and those seeking jobs that require these skills. The skills will be equally useful for those wanting to produce high-quality visualizations as those intending to commission them. Specifically, the course will benefit professionals in small/medium-sized business, third- and public sector employees.

The skills learnt will strength applications to jobs requiring administrative-, analysis-, as well as communication experience in any sector.

Programme Structure

  • The course is structured around topical themes in visualisation and the necessary skills to put these into practices. The skills progress from basic to intermediate through the course with a focus on enabling learners to easily build on skills for specific projects. Each session consists of a lecture and demonstration, followed by peer-learning, self-study materials, and programming support labs.
  • Over 5 weeks participants will acquire knowledge about data visualisation though recorded lectures and brief readings. They will develop programming skills to generate their own visualisation through recorded demonstrations, weekly tasks, and supported by live online help sessions. A set of individual and peer-to-peer activities provide the opportunity to evaluate good visualisations and reports using them.

Key information


  • Part-time
    • 2 months

Start dates & application deadlines




5 alternative credits

Learners who successfully pass the course assessment will also gain 5 credits (this is optional).



Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • The course requires a general computer literacy (e.g. familiarity with MS Office programmes and ability to install software), access to a computer with a stable internet connection as well as Zoom (for help sessions).
  • The content and activities of the course require participants to spent 10hrs on lectures, activities and completing tasks.
  • Participants would benefit from prior experience of statistical software especially R – The microcredential course “Data skills for processing and presenting data” (Dr Emily Nordman) is recommended as an excellent prior training with some technical overlap.

Tuition Fee

To always see correct tuition fees
  • International

    399 EUR/full
    Tuition Fee
    Based on the tuition of 399 EUR for the full programme during 2 months.
  • National

    399 EUR/full
    Tuition Fee
    Based on the tuition of 399 EUR for the full programme during 2 months.


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