Delivery Mode
on campus
Start Date
2026-10-10
End Date
2026-11-07
Level
EFQ Level 7 / NFQ Level 9
Fee
€1 100
ECTS
10
Overview
Participants will learn to apply the principles of data visualisation to the analysis, design and communication of information in order to provide insights, clarity and meaning. The course is suitable for individuals involved in the collection, analysis or intrepretation of data, as well as for those responsible for the communication of data to a range of audiences. The course will use the visualisation application Tableau. In addition, the open source software environment R together with a number of its data visualisation libraries including ggplot2, Plotly and the mapping library Leaflet will be used. No prior experience with Tableau or R will be assumed. The course will be delivered on campus over 4 days (Saturdays) from 10am to 4pm: 10th October 2026 17th October 2026 31st October 2026 7th November 2026
What You'll Learn
Topics covered in this course include: • The grammar of graphics • Visualising data in one, two and higher dimensions. • Geospatial visualisation • Interactive visualisation • Dashboard design and development • Data visualisation using open source software e.g., R. • Review of key concepts associated with statistical reasoning • Creating surveillance models based on data collected over time • Publishing content using an open source framework.
Requirements
Students should have access to a computer with a standard specification. The application Tableau will be provided to students.