Successful completion of this course demonstrates your achievement of the following learning outcomes for the MS-DS on Coursera: ...

This course is available with permission as an outside option to students on other programmes where regulations permit and to General Course students ... have taken at least a first course in linear ...

You construct a generalized linear model by deciding on response and explanatory variables for your data and choosing an appropriate link function and response probability distribution. Some examples ...

In generalized linear models, the response is assumed to possess a probability distribution of the exponential form. That is, the probability density of the response Y for continuous response ...

General Linear Model methods are the most widely used in data analysis in applied empirical research. Still, there exists no compact text that can be used in statistics courses and as a guide in data ...

An emerging field in statistics, distributional regression facilitates the modelling of the complete conditional distribution, rather than just the mean. This book introduces generalized additive ...