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161.762 Multivariate Analysis for Big Data (15 credits)
Research methods suitable for the analysis of big datasets containing many variables. The fundamentals of data visualisation, customer segmentation, factor analysis and latent class analysis with examples taken from business and health fields. Emphasis will be placed on achieving a conceptual understanding of the methods in order to implement and interpret the outcomes of multivariate analyses.
Note(s): Access to a Windows PC is required for analysis of data.
Note: You may enrol in a postgraduate course (that is a 700-, 800- or 900-level course) if you meet the prerequisites for that course and have been admitted to a qualification which lists the course in its schedule.
|2021||Semester One full semester||Block||Auckland Campus|
|2021||Semester One full semester||Distance|
|2022||Semester One full semester||Block||Auckland Campus|
|2022||Semester One full semester||Distance|
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