In this advanced course on Mulitvariate Data Analysis, you will gain a comprehensive understanding of modern methods in multivariate data analysis. You will learn to understand the structure of data from automated processes and understand Data pre-processing methods (data compression, data alignment, data transformations etc.). You will also learn to identify collinearity problem and suitable strategies to deal with it.

Transferring this knowledge into practical contexts, you will be able to apply technologies to real world situations. You will learn to analyse a data analysis project and determine pre-processing steps as well as test different statistical technologies. Furthermore, you will develop the ability to interpret results in the context of an application and a given problem setting, draw conclusions and communicate results and procedures of a data analysis project. In addition, you will strengthen your skills in Scientific literature research and handling.