Didactic concepts of modern data analysis

Nowadays, huge amounts of data are produced within shortest time. Especially modern production and measurement systems daily generate a big volume of data, which is growing exponentially. In many cases the challenge is not just obtaining the data, but an appropriate analysis, which is necessary to extract the significant information for enterprises and institutions. The added value of information is zero, if the employees of a company are not able to effectively evaluate the collected data. In this paper a didactic concept is presented, how master students become familiar with methods of modern data analysis. A complete and systematic approach starting with data acquisition, database management, extraction, up to evaluation and interpretation is shown. For better understanding the used complex and theoretical multivariate algorithms are applied to illustrative examples. This gives the students the opportunity to establish a relationship with these methods and the ability to transfer them to practical industrial problems.