32146 Data Visualisation and Visual Analytics6cp; 1hpw (lecture), 2hpw (laboratory). Forms of attendance and mode of delivery in this subject have changed to enable social distancing and reduce the risks of spreading COVID-19 in our community.
Requisite(s): (31250 Introduction to Data Analytics AND 48024 Applications Programming) OR 32130 Fundamentals of Data Analytics OR (25776 Foundations of Business Analytics AND (42046 Data Processing Using R OR 42047 Data Processing Using Python OR 25777 Data Processing Using SAS))
This subject covers the core data visualisation and visual interaction (or navigation) technologies that support the visual analytics and decision-making processes. Students study the latest data visualisation articles and the practice of cutting-edge data visualisation and visual analysis software. The subject provides an essential understanding of the procedure (loop) and the methodology of visual data analytics. It discusses the human involvement (or input) in the loop of analytical reasoning facilitated by interactive visual interfaces. On successful completion of this subject, students are capable of designing and evaluating various advanced visualisation interfaces that can be directly applied into the loop of visual data mining or visual analytics to enable them to become data visualisation designers and visual data analysts.
Spring session, City campus
Detailed subject description.
Information to assist with determining the applicable fee type can be found at Understanding fees.
- Commonwealth-supported students: view subject fees at Fees Search: Commonwealth-supported
- Postgraduate domestic fee-paying students: fees are charged according to the course enrolled in; refer to Domestic Fees Search: Postgraduate and Research
- International students: fees are charged according to the course enrolled in; refer to International Fees Search
- Subject EFTSL: 0.125