32513 Advanced Data Analytics Algorithms6cp; 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): (32130 Fundamentals of Data Analytics OR 31250 Introduction to 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)
Anti-requisite(s): 31005 Machine Learning
Recommended studies: knowledge of database technologies
Data analytics is an exciting new field combining databases, artificial intelligence, machine learning and visualisation, among others. It is applied in many fields of business, industry and science to discover new information and knowledge. Central to data analytics are the algorithms themselves. This subject builds on previous data analytics subjects to give an understanding of how basic as well as more powerful and subtle algorithms work. It takes a research-inspired approach so that students learn to apply state-of-the-art algorithms to their professional practice. It also introduces data analytics approaches for specific domains such as social network analysis and text mining.
Spring session, City campus
Detailed subject description.