What's On at UWA

This practical course covers the basics of carrying out applied statistics using R.

The course is open to anyone and is designed for people with little or no knowledge of statistics who want to develop an understanding of basic statistics.

The course is designed for people with knowledge of basic statistics who want to learn more about regression and analysis of variance (ANOVA).

The course is designed for people with knowledge of basic statistics and linear regression models who want to learn more about regression models for other types of data in the framework of generalised linear models.

This course covers techniques that can be used to analyse longitudinal (or repeated measures) data, spatial data, clustered data and data from complex experimental designs. The courses focuses on recognising data with these structures and identifying appropriate models to fit to the data.

This is course is designed for those looking for an introduction to clustering techniques (unsupervised learning) with applications in R.

It's more important than ever to be strategic about where you publish your research; to maximise reach and potential impact, as well as ensure you are working with quality and legitimate publishers. This seminar covers 1) identifying and assessing journals and other key academic publishing avenues (...)