Course overview
This course aims to equip students with the knowledge and skills to fit predictive models to real-life datasets. Building up the linear models and R coding learned in Statistical Practice, students will learn the general framework of predictive modelling both regression and classification, and how to implement the models in R, interpret the models and communicate to a general audience.