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This course teaches methods to understand patterns and structures inherent in data sets containing many variables. The fundamentals of data visualisation, clustering, and dimension reduction with examples taken from a range of applications.
Note(s): Access to a Windows PC is required for analysis of data.
|2020||Semester One full semester||Block||Auckland Campus|
|2021||Semester One full semester||Block||Auckland Campus|
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