5009691: C19 Data Visualisation

Description

Data Visualisation covers techniques for creating effective data visualisations based on principles from statistics, cognitive science, and graphic design to help analysts and decision-makers understand and explore big data. The course covers eight primary topics:

• Visualising univariate and multivariate numerical data
• Visualising time series data
• Visualising geospatial data
• Visualising networked data
• Visualising high-dimensional data
• Visualising textual data
• Interactive dashboards
• Animations

Learning Outcomes

After successful completion of the course, students will:

• understand the main concepts, theories, and methods of data visualisation
• recognise the typical challenges of visualising large and complex data sets
• be able to create graphs like bar charts, scatterplots, line charts, and heatmaps to represent various types of data sets visually
• be able to use data-visualisation methods to analyse business problems, generate possible solutions, and compare these solutions in terms of their effectiveness and efficiency

Lectures Method

• The course involves interactive lectures with exercises to integrate theoretical knowledge with practical design and analysis skills.
• The e-learning platform Moodle is used throughout the course to disseminate course material and for information and discussion.
• Real-life examples are used to show how the course content can be applied in practice.

Literature

• Compulsory reading:Cairo, A. (2016). The Truthful Art: Data, Charts, and Maps for Communication. US: New Riders.