Description
The students would learn about the terminology, concepts and techniques behind visualising data, and will get to use a range of tools to get experience of creating visual representations of data. The students will gain an understanding of how humans perceive data, and why certain techniques can greatly enhance the effectiveness of any visualisation. The students will look at example images to critique them, building up knowledge about what works, and what doesn't. The module will include a mix of lectures, tutorials, seminars and hands-on exercises.
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Course Curriculum
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Introduction to Data Visualization
- Importance and applications of data visualization.
- Basic terminology and concepts.
- Overview of popular tools and libraries.
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Data Types and Structures
- Understanding different types of data (numerical, categorical, ordinal).
- Data cleaning and preprocessing.
- Introduction to data formats (CSV, JSON, etc.).
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Visualization Tools and Libraries
- Introduction to tools like Tableau, Power BI, and libraries like Matplotlib, Seaborn, D3.js.
- Setting up and getting started with a visualization tool/library.
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