STA5077Z - Unsupervised Learning

12 credits at NQF level 9

Entry Requirements:

Acceptance into the Master’s course in Data Science or quantitative background deemed sufficient by Head of Department.

Course Outline:

As part of the Master's in Data Science degree this course aims to familiarise students with the statistical methodology needed to analyse relationships between variables in big data without having causal relationships with predictor and response variables. Topics covered include association rules and market basket analysis, self-organising maps, multidimensional scaling, cluster analysis, principal component analysis.