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Understanding, visualising and analysing data in a practical context using R/RStudio. Topics are selected from: data collection including experimental designs, observational studies, and surveys, data cleaning and preparation, exploratory analysis, visualisation of multivariate and time series data, regression, analysis of variance and covariance, autoregressive models and categorical data modelling.
Note(s): Access to a computer and an approved statistics package are required for analysis of data.
|2020||Semester One full semester||Distance|
|2020||Semester One full semester||Internal||Manawatu Campus|
|2021||Semester One full semester||Distance|
|2021||Semester One full semester||Internal||Manawatu Campus|
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