The students acquire skills for understanding and for the use of a wide variety of methods and concepts of the computer-aided data analysis and its correct, practical application. They are able to make observations and structure information sets in such a way that their essential patterns are recognizable and business decisions can be made. The students are able to make appropriate key performance indicators, figures and methods for characterizing empirical data and also calculate it for very large amounts of data. They have mastered the essential concepts of graphical representations of data that can be used for further analyses with the help of statistical methods of machine learning by applying existing software solutions.