Statistical learning with regression models

About this programme

No fees are charged for EU and EEA citizens, Swedish residence permit holders and exchange students. This course is very relevant for anyone working with data. Regression methods are the most important statistical tools to study the dependency between a target variable of interest (response) and several other variables (covariates). By building a robust and interpretable regression model, you will be able to perform predictions and quantify the corresponding uncertainties. The course integrates methodology with hands-on data analysis using the R software. MSG100/MSG110 and MSG200 or other courses covering the material of these courses. All eligible applicants who have applied before the deadline will be granted a place. Mathematical Sciences is a joint department of Chalmers/University of Gothenburg. Your education takes place in the spacious and bright premises of Mathematical Sciences at the Chalmers campus Johanneberg, where there are lecture halls, computer rooms and group rooms. Here you can also find student lunch room and reading room, as well as student counsellors and student office.