Date/Time
Date(s) - 02/05/2024
9:30 am - 5:00 pm
Categories
This 1-day interactive course provides a practical introduction to data visualization with Tableau Desktop, an industry-leading visualization tool. You will learn how to create effective visualizations by avoiding common mistakes and how to use Tableau by creating visualizations 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.
Date: Thursday 02nd May 2024 at 09:30 – 16:30
Location: Leeds Institute for Data Analytics training room, Worsley 11.06
Pricing: Students £70, Staff members £150
Booking: Tickets can either purchased by following this link, alternatively for internal bookings or general enquiries please contact cdrctraining@leeds.ac.uk
Is this course for me?
The workshop is open to academic staff and students, irrespective of their level of knowledge on Tableau.
Please note that, due to licensing restrictions, only emails ending .ac.uk can be taken into account for bookings on this course.
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”) 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 research into new user interfaces and visualization techniques for high-definition workstation and Powerwall displays. His research spans application domains as diverse as web browsing, 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 is a principal investigator on two current projects: Making Visualization Scalable (MAVIS) for explainable AI (funded by EPSRC) and AI for Dynamic prescribing optimisation and care integration in multimorbidity (DynAIRx; funded by NIHR).
Booking: Tickets can either purchased by following this link, alternatively for internal bookings or general enquiries please contact cdrctraining@leeds.ac.uk