Data Visualisation Using Python
Date:
21/02/2024 - 28/02/2024
Organised by:
University of Cambridge
Presenter:
Dr Chen Qu
Level:
Entry (no or almost no prior knowledge)
Contact:
Anna Evans admin@ssrmp.group.cam.ac.uk
Venue: Online
Description:
The module explores Good Data Visualisation (GDV) and graph creation using Python.
In this module we demystify the principles of data visualisation, using Python software, to help researchers to better understand and reflect how the “5 Principles” of GDV can be achieved. We also examine how we can develop Python’s application in data visualisation beyond analysis. Students will have the opportunity to apply GDV knowledge and skills to data using Python in an online Zoom, self-paced, practical workshop. In addition there will be post-class exercises and a 1-hour asynchronous Q&A forum on Moodle Forum.
Format: The module requires student to attend two 2-hour sessions that consist of a 2-hour presentation and self-paced preparation and post-class exercises and there will also be a 1 hour asynchronous Q&A session on Moodle Forum.
Session 1: online presentation and discussion, with an introduction to key concepts and problems in data visualisation, with examples from case studies. There will also be an opportunity for group discussion on the principles of data visualisation and aspects to consider to successfully communicate information using visual methods.
Session 2: online Zoom workshop where students have the opportunity to apply Python to visualise data and construct different types of graphs.
Cost:
TBC
Website and registration:
https://www.training.cam.ac.uk/event/5110165
Region:
International
Keywords:
Mixed Methods Data Handling and Data Analysis, ICT and Software, Data Visualisation, Data Visualisation, Python, data visualisation theories
Related publications and presentations:
Mixed Methods Data Handling and Data Analysis
ICT and Software
Data Visualisation