31250 Introduction to Data Analytics6cp; 2hpw (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): 31040 Data Mining and Knowledge Discovery AND 32130 Fundamentals of Data Analytics
Recommended studies: knowledge of database technologies
Data analytics is the art and science of turning large quantities of usually incomprehensive data into meaningful and commercially valuable information. It is the basis of modern computer analytics and intelligence. It includes a number of IT areas, such as statistical methods for identifying patterns in data and making inferences; database technologies for managing the data sets to be mined; a range of intelligent technologies that derive automatically patterns from data; and visualisation and other multimedia techniques that support human pattern discovery capabilities. This subject offers the foundations of data analytics, data mining and knowledge discovery methods and their application to practical problems. It brings together the state-of-the-art research and practical techniques in data analytics, providing students with the necessary knowledge and capacity to initiate and conduct data mining research and development projects, and professionally communicate with analytics experts.
Autumn session, City campus
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