42822 Advanced Data Analytics2cp
Requisite(s): 42821 Data Analytics Foundations
Anti-requisite(s): 31250 Introduction to Data Analytics AND 32130 Fundamentals of Data Analytics
Data analytics is the art and science of turning large quantities of usually incomprehensible 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.
Advanced Data Analytics develops skills in data classification and prediction by practical activities in decision tree induction, classification by support vector machine, ensemble methods and random forest, classification accuracy and identifying issues in prediction. Building from Data Analytics Foundations, the microcredential enables an exploratory data visualisation and evaluation of results.
Detailed subject description.