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Methods to understand patterns and structures inherent in data sets containing more than one variable. The fundamentals of ordination, clustering and testing methods for the analysis of several variables, with examples taken from a range of applications.
Note(s): Access to a Windows PC is required for analysis of data.
|2017||Semester one full semester||Block||Auckland Campus|
|2018||Semester one full semester||Block||Auckland Campus|
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