Data Analytics and Visualisation

Description

Large data sets are now readily available, which can lead to information overload and confusion. The module provides the learner with the means of combating information overload in order to improve comprehension and decision-making by utilising data visualisation tools, graphic design and cognitive science in a dynamic interactive environment.

Learning Outcomes

  1. Appreciate the history of and contemporary issues in data visualisation

  2. Critically analyse data in terms of  accuracy and authenticity.

  3. Analyse Data Visualisations in terms of comprehension design and Interactivity

  4. Identify, evaluate and use various data visualisation methodologies and tools.

  5. Use best design principles and methodologies  in  the development and presentation of a data visualisation.

  6. Synthesise data and design to communicate information effectively

Credits
05
% Coursework 100%