The course introduces students to important methods of multivariate statistics. Multivariate statistics allows the analysis of complex statistical relationships between several variables. The course covers (1) binary logistic regression, (2) multiple correspondence analysis and (3) multilevel analysis. These three methods take into account the special data situation in the social sciences (mostly categorical data, then also clustered data structures), but today there are also standard methods in related fields such as data science. The focus of the course is on understanding the conceptual foundations and properties of the statistical methods. The course intends to train students so that they can handle the statistical methods correctly from a social science perspective and interpret the results competently. These three methods are frequently used in BA and MA theses. The software R (and RStudio as user interface) is used in the course so that practical application is also included. As part of the colloquium lecture, the lecture content is applied in exercises which will prepare for the exam.