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Data Science and Visualisation

Code: COMM227

Credits: 15

Semester: Semester 2

This module builds on the skills developed in the Introduction to Programming module to explore more advanced data analysis and visualisation techniques, based around coding. The full data lifecycle is considered, with a focus on data collection, processing, analysis and visualisation. Methods covered include probability distributions, statistical regression and multidimensional plotting. The module will focus on analysing and visualising data relevant to communication and media, but it will also critique how data are used and presented in the media. It will also touch on the machine learning and artificial intelligence techniques that underlie many of the most powerful digital applications. The module is assessed by a piece of coursework, where students develop a portfolio to describe and apply the methods covered in the module. By the end of the module, students will be able to select and use appropriate methods to analyse and visualise a range of data.