Statistics and data analysis II
The course consists of two parts. The first part deepens the multiple regression in the course Statistics and Data Analysis I to, among other things, non-linear regression with modern techniques from machine learning to avoid overfitting of data. Furthermore, regression models with binary and count variables as responses are introduced. A large amount of space is given to models and methods for analyzing time series data. In the second part, you will learn how to collect new and better data through, for example, sample surveys.
The schedule will be available no later than one month before the start of the course.
We do not recommend print-outs as changes can occur. At the start of the course,
your department will advise where you can find your schedule during the course.
Note that the course literature can be changed up to two months before the start of the course.
Course reports are displayed for the three most recent course instances.
