Data Analytics and Visualisation

Description

Large  data sets  are now readily available which can led 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%