Master of Information Technology
IT5002.10 Data Analytics and Visualisation
This subject covers a range of contemporary data analytics and visualization principles and practices with a hands-on practical approach. Starting with an introduction to data analytics, this subject elaborates on the value of organisational data analysis to identify useful patterns and improve decision making. This subject discusses the importance of recognising strong patterns among the numerous patterns evolving from data, and how these patterns can be used for business decision making. Probabilistic modelling, classification, decision trees, clustering,
linear modelling, frequent patterns, association rules, text data analysis, social network analysis, and emerging topics in data analytics are included in this subject. This subject also discusses and praises the ethical and social concerns related to data analytics.
