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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.