You are currently viewing Data Analysis

In a world where data volumes are constantly growing and digitalization is advancing, managers need to familiarize themselves with the various facets of data analysis. This includes knowledge of artificial intelligence, machine learning and automated data analysis which enable the handling of complex data patterns and processes. At the same time, it is important to deal with topics such as data ethics and data protection to ensure that the data collected is used responsibly.

The “Data Analysis” module led by Prof. Dr. Temme provides a comprehensive introduction to the various analysis methods and the processing of data. Participants learn how to correctly collect, analyze and interpret data in order to make informed and reliable decisions. Practical case studies are used to familiarize students with the challenges and solutions in modern data analysis.