32130 Fundamentals of Data Analytics6cp; 2 hpw (workshop/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.
Anti-requisite(s): 31250 Introduction to Data Analytics
Data analytics is the art and science of teasing meaningful information and patterns out of large quantities of data. It combines statistical methods for identifying patterns in data and making inferences with a number of IT technologies, including database technologies for handling massive volumes of data, intelligent and smart systems technologies, visualisation and other multimedia techniques that appeal to human pattern discovery capabilities. The subject offers broad background to data analytics and data mining methods and their application in practice. It brings together the state-of-the-art research and practice in related areas and provides students with the necessary knowledge and capacity to initiate and lead data analytics projects that can turn company data into commercially valuable information.
Autumn session, City campus
Spring session, City campus
Detailed subject description.