This online course aims to equip participants with the skills to use visualisation to uncover insight, to improve question answering, information discovery, to support informed decision-making and the creation of value from data.
The course is NOT
This course WILL
Contextual knowledge plays a key role in data interpretation and use. While this may be harnessed to create more meaningful, insightful visualisations, context may also be exploited to unfairly influence or actively mislead - topics that will be covered during the course. We encourage BYOD—bring and work on your own data project (we can sign non-disclosure agreements). Alternatively, class examples will point to open-access data on a variety of topical issues such as climate change, gender participation (e.g., the No Ceilings project — github repository), Scotland’s Open Data Catalogues and the National Records of Scotland (NRS).
This course teaches general knowledge about theory, application, design, and evaluation of visualisations. The goal of the course is to enable participants to understand the potential of visualisation for exploration, analysis, and communication.
The course targets professionals working in, among others, finance, the sports industry, the creative industry, in journalism, education and in the public sector. It will enable participants to describe a visualisation problem, to explore the data using data visualisation, to discuss and design appropriate visualisation concepts, and to implement and critically reflect on them. The bi-disciplinary approach, from the Computer Science and Social Sciences perspectives, aims to increase accessibility and ensures both grounding in technical understanding and application across sectors.
The course is designed for an interdisciplinary audience, targeting participants with a background in design, data analysis, and other areas. In addition to core, mandatory topics that aim to develop visual literacy, participants can chose from a variety of optional, more specialised topics during the course.
The final assessment will require participants to work on an open visualisation project of their choice, which can, e.g., include their own data or use open data. The end goal could be any of, but not limited to, the following:
In addition to self-directed, online learning, individual help and feedback will be provided through forums and email, drop-in online-sessions, and local workshops in Edinburgh.
Tutorials and talks will be held at the University of Edinburgh, and along with external seminars, will be live-streamed and recorded for an online audience.
We aim to ensure course delivery is as flexible as possible to accommodate each participant’s work schedule. Course content is delivered through recorded online video lectures, suggested readings, online tutorials, quizzes, exercises that can be handed in to obtain feedback as well as optional advanced modules.
Prior to course start, we aim to work with selected participants to shape the course to best accommodate specific needs of working professionals. If you would like to take part in a workshop or taster session please complete a brief interest survey, or e-mail us.