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An introduction to data mining techniques; analysis of moderate to large sized datasets; data preparation; handling missing data; statistical graphics and exploratory data analysis; prediction and classification by regression modelling, neural network and tree-based methods; cluster analysis; association mining with market basket methods; extensive use of a leading software tool.
Note(s): Distance offering: Access to a computer with an approved statistics package is required for analysis of data
|2020||Semester Two full semester||Distance|
|2020||Semester Two full semester||Internal||Manawatu Campus|
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