Data Visualisation (an MDataGov module)

Description:

This module is part of a series of short (CPD - Continuous Professional Development) courses in Social/Official statistics delivered at the University of Southampton - Highfield campus. 

Data Visualisation is the process of summarising and communicating the information in a dataset through graphics. This course examines what makes good visualisations, and how this depends on the audience and purpose of the visualisation and the type of data being displayed. The link between good graphics and an understanding of human perceptual and information-processing capacities are discussed. This module will provide students with an understanding of the principles underlying static, dynamic, and interactive data visualisation, together with the practical tools necessary to produce their own high quality data visualisations. Teaching will include lectures and practical computer workshop in Python.

For more information see: Data Visualisation | STAT6119 | University of Southampton

Pre-requisites

Previous knowledge of statistical programming in R or Python, or knowledge of data science approach to modelling and interpretation is assumed. For examples of syllabus for suitable prerequisite, see: Statistical Programming | STAT6103 | University of Southampton and Data Science Foundations | STAT6114 | University of Southampton

Registration

Registration is by application which should be submitted at least one month before the start of the course. For further information about the application process, please get in touch with Helen Davies at helen.davies@soton.ac.uk

Assessment

This course can be taken with or without assessment. The latter offers the possibility of accumulation of credits for the MSc in Data Analytics for Government https://www.southampton.ac.uk/courses/data-analytics-for-government-masters-msc

Cost:

£1,000

Website and registration:

Register for this course

Region:

South East

Keywords:

Python, Data Visualisation

Related publications and presentations from our eprints archive:

Python
Data Visualisation

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