|Short Description:||Multvrt Anlysis High-Dim Data|
|Faculty or Section :||Faculty of Health, Engineering and Sciences|
|School or Department :||School of Sciences|
|Student contribution band :||Band 1|
|ASCED code :||010103 - Statistics|
|Grading basis :||Graded|
|Version produced :||1 March 2021|
Pre-requisite or Co-requisite: STA8170 or STA2300 or STA1003
STA8005 is not available to students who have already undertaken or intend to undertake STA3200.
This course covers some of the statistical concepts and methodologies appropriate for the analysis of large and/or high dimensional data sets. Students will learn the mathematical foundation of a number of statistical methods, the benefit and limitations of each method, how to correctly apply these methods using statistical software and how to assess the effectiveness of given analyses for given data sets. Students will also learn how to perform statistical analyses in the statistical software R. This will require students to master the writing of R code.