|This event spans multiple dates:|
|23 Mar 2022||16:00 to 18:00||Online event|
|30 Mar 2022||16:00 to 18:00||Online event|
This course demystifies principles of data visualisation and practices of graph creation in Python to help trainees better understand and reflect how Good Data Visualisation under “5 Principles” can be like and achieved, and develop Python’s application in data visualisation beyond analysis. This course is aimed at students/staff who are interested in and/or use data visualisation in research or outreach and hope to explore data visualisation in Python with basic Python knowledge. It is delivered in a format of 4-hr workshop (on Zoom) + c. 2hr self-paced preparation and post-class exercises+ 1hr asynchronous question-shooting, combining theories, case learning, peer interactions and practical: we first present an introduction on key concepts of and problems in data visualisation, before case studies and group discussion on data visualisation principles and how to visualise data better in practices; then under a demonstration, we employ Python to visualise data and go through types of graphs.
PrerequisitesNone, although mastery of basic-level Python or programming would be helpful; we will provide pre-class materials for attendees without programming knowledge.
This workshop is open to graduate students and staff at the University of Cambridge. Places are limited and available to book via UTBS.