Date: to be confirmed
This course is designed for those who wish to carry out deeper analyses of their data using statistical models and machine learning methods. Participants should have a grounding in R. The course covers classical modelling (Linear Models, GLMs, Multivariate Analysis), modern statistical methods (Text Mining, Nonlinear Modelling, Bayesian Analysis), and machine learning (both individual methods and combining groups of methods). The course includes new developments in R: specialist mapping tools and Simple Features for spatial analysis, the tidyverse, and integrated and reproducible research using rmarkdown.
Participants are encouraged to bring their own datasets to work on in the hands-on sessions, which will be tailored to reflect their interests.