This module offers a hands-on introduction to statistics, applied to the context of research in the (digital) humanities and social sciences. Major objectives are the understanding of core statistical concepts, the correct and informed selection of relevant tests as well as the adequate application in the statistical programming language R.
The course contents include the creation, inspection and visualization of dataframes, as well as the performance of descriptive statistical tests that aim to complement the predictive focus of the Machine Learning I module.
The module consists of five hands-on classes. Attendance is mandatory. Students are asked to bring their own laptop to class. In addition, students are required to make exercises at home and to read and prepare theoretical chapters in advance of classes.
Students will be evaluated on an exam project.