This interactive, instructor-led course explores the principles and practical techniques behind effective data visualisation. Participants will learn how to present data clearly, avoid misinterpretation, and create visualisations that engage [...]
  • QADMDVBPILT-QA
  • Price on request

This interactive, instructor-led course explores the principles and practical techniques behind effective data visualisation. Participants will learn how to present data clearly, avoid misinterpretation, and create visualisations that engage audiences and support informed decision-making. The session focuses on the balance between art and science in data storytelling—turning data into accessible insights through simplicity, trustworthiness, and visual clarity.Learners will apply best practice principles through guided discussions, demonstrations, and reflective exercises designed to connect theory to their own workplace data. This course is the instructor-led version of QA’s self-paced digital module, providing a collaborative learning experience with real-time feedback from an expert facilitator.

  • Explain the key principles of elegant, accessible, and trustworthy data visualisations.
  • Identify the most appropriate chart or graph type based on dataset characteristics and audience needs.
  • Recognise and avoid common visualisation pitfalls that lead to misleading insights.
  • Select the most appropriate tools for different business scenarios based on cost, complexity, and interactivity needs.
  • Apply best practice design techniques to improve readability and impact.

I am interested in selected QA course