LIDA Tableau Visualization Workshop 2026Info Location Attendee Categories Contact More Info Event Information
DescriptionThis 1-day interactive course provides a practical introduction to data visualisation with Tableau Desktop, an industry-leading visualization tool. You will learn how to create effective visualisations by avoiding common mistakes and how to use Tableau by creating visualisations that range from bar and line charts to heat maps and geographic maps. You’ll then have the opportunity to apply your knowledge by tackling a series of data analysis ‘challenges’. The majority of the course will involve hands-on practical exercises.
Location of Event: Psychology Cluster 1.43
Event Location
Attendee CategoriesStaff
Additional ItemsMore InformationThe workshop is open to Leeds University staff and students only, irrespective of their level of knowledge on Tableau. No prior knowledge is assumed for this course other than having basic IT skills. However, you will get the most out of the course if you complete in advance the “Get Started” tutorial (https://onlinehelp.tableau.com/current/guides/get-started-tutorial/en-us/get-started-tutorial-home.htm). You can install Tableau on a University PC via AppsAnywhere (launch “Tableau Unlicensed 2025.1.4”) or download Tableau onto your own PC/Mac via their website. For a free temporary licence see https://www.tableau.com/products/trial and you may also request a free researcher licence (https://www.tableau.com/en-gb/academic/teaching). Workshop Tutor Roy Ruddle is a Professor of Computing at the University of Leeds, and Director of Research Technology at the Leeds Institute for Data Analytics (LIDA). Roy has worked in both industry and academia, and specialises in interdisciplinary research into interactive visualization, data quality and data science workflows. His research spans application domains as diverse as retail, petrophysics and health, and his Leeds Virtual Microscope (LVM) has been commercialised by the healthcare company Roche and was a REF2021 Impact Case Study. He was an Alan Turing Institute Fellow from 2018 – 2023, and is currently principal investigator on two major projects: Making Visualization Scalable (MAVIS) for explainable AI (funded by the EPSRC) and AI for Dynamic prescribing optimisation and care integration in multimorbidity (DynAIRx; funded by the NIHR). Location Psychology Cluster 1.43 | ||||||||||||||||
