University of Technology, Sydney

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32130 Fundamentals of Data Analytics

6cp
There are course requisites for this subject. See access conditions.
Anti-requisite(s): 31040 Data Mining and Knowledge Discovery AND 31250 Introduction to Data Analytics

Postgraduate

Description

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.


Detailed subject description.

Fee information

Information to assist with determining the applicable fee type can be found at Understanding fees.

Access conditions

Note: The requisite information presented in this subject description covers only academic requisites. Full details of all enforced rules, covering both academic and admission requisites, are available at access conditions and My Student Admin.