Description:

This is an intermediate-level workshop focusing on visual data analysis skills using Tableau Desktop software. Tableau stands out as one of the global leaders in business intelligence software and finds extensive application in universities for teaching and learning by academic staff. Moreover, it serves as a powerful tool for researchers, enabling them to make sense of and interpret diverse and large datasets, thus enhancing both data and visual literacy.

Outcomes:

Participants will learn the following with Tableau Desktop:

• Connect to multiple datasets in different file types and repositories.
• Joining across files/datasets/databases, establishing relationships between data sources.
• With the combined data available, explore, select, create, and use sensible views in Tableau Desktop, ranging from standard charts to building custom ones.
• Making sense of and arguing with the visual representation of data.

Target audience:

Academic staff, researchers, and postgraduate students.

Note to registrants:

It is assumed that participants have completed an introductory-level Tableau Desktop workshop.

An active Tableau Desktop account is required, and the software should be up and running on the computer the participant is using.

Information will be shared with all registrants before the workshop.

Registrants will receive some datasets in advance for the exercises during this workshop.

Presenter:

Johan Louw

Associate Professor: Logistics- and Supply Chain Management | Acting Subject Head (Logistics Management)

Department of Logistics , Faculty of Economic and Management Sciences

Tableau Academic Ambassador in higher education