Basics of data visualisation and visual analytics

Overview: These resources cover an introduction to data visualisation, the reasons why visualisation is needed, basics of human perception and cognition, different techniques for visualisation and principles of visual design.

Trainer: Jan Aerts

Materials

Data visualisation in life sciences – part 1

Data visualisation in life sciences – part 2

Data visualisation in data science – design

Data visualisation and scientific discovery

Overview: This presentations focuses on the relevance of data visualisation for scientific discovery, both for exploratory and explanatory purposes. The design of data visualisation and how user interaction with the data needs to be done in collaboration with the users and taking into account their experience

Trainer: Ryo Sakai

Materials: Data visualisation and scientific discovery

Keynote lecture: Designing meaningful, effective and valid human-data interactions

Speaker: Cagatay Turkay

Materials: Designing meaningful, effective and valid human-data interactions

In this talk, I will present a vision for the role of visualisation from supporting discovery in science, to decision making in applying findings, to being a facilitator between science and society. I will share a range of case studies where we explored such roles in a number of context from epidemiological modelling to cyber security.

Other resources

You might also be interested in the following recording Data visualisation 101: A practical introduction to designing scientific figures