Last modified: 23 Jul 2024 11:08
Visualising the outcome of a data analysis is critical to communicate the results. In this course we will study standard and cutting edge visualisation techniques to make sense of data, and present it in a compelling, narrative-focused story.
Presenting and visualising data and reporting on the result of an analysis are a crucial skill when making sense of data.
Study Type | Postgraduate | Level | 5 |
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Term | First Term | Credit Points | 15 credits (7.5 ECTS credits) |
Campus | Aberdeen | Sustained Study | No |
Co-ordinators |
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The goal of this course is to teach you how to use data visualisation effectively. More precisely:
We will do all this by using Mathematica. Having the power of a fully-fledged programming language allows us total freedom to customise graphs in any way we want; we can even create entirely new kinds of plots from scratch, if we need to. In addition, plots in Mathematica are not confined to being static entities: we can make them come alive, and turn plots into mini-apps that respond to inputs in many ways. In this course, you will master Mathematica's data visualisation capabilities.
Information on contact teaching time is available from the course guide.
Assessment Type | Summative | Weighting | 50 | |
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Assessment Weeks | Feedback Weeks | |||
Feedback |
Knowledge Level | Thinking Skill | Outcome |
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Assessment Type | Summative | Weighting | 50 | |
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Assessment Weeks | Feedback Weeks | |||
Feedback |
Knowledge Level | Thinking Skill | Outcome |
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There are no assessments for this course.
Assessment Type | Summative | Weighting | 100 | |
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Assessment Weeks | Feedback Weeks | |||
Feedback |
Knowledge Level | Thinking Skill | Outcome |
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Knowledge Level | Thinking Skill | Outcome |
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Reflection | Create | Learn how to implement modern data visualisation techniques in the Mathematica scientific environment and programming language. |
Reflection | Create | Use modern data visualisation techniques to make compelling presentations; and learn narrative-based approaches to present data (storytelling with data), enhanced by appropriate data visualisation. |
Reflection | Create | Learn to apply modern data visualisation techniques to find patterns and correlations in data, and test hypotheses. |
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