Last modified: 4 Days, 11 Hours, 27 Minutes ago
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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| Session | First Sub Session | Credit Points | 15 credits (7.5 ECTS credits) |
| Campus | Aberdeen | Sustained Study | No |
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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 | |||
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| Knowledge Level | Thinking Skill | Outcome |
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| Assessment Type | Summative | Weighting | 50 | |
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| Assessment Weeks | Feedback Weeks | |||
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| 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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