Data Analytics

Discovering useful information to support conclusions and decision-making is the goal of Data Analytics. This is done in a process of inspecting, cleansing, transforming, and modeling data. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names. Key terms are

• Data mining
• Business intelligence
• Statistical applications
• Predictive analytics

We focus our research interests in the following aspects:

• Data requirements
• Data visualisation
• Data products
• Providing infrastructure for data analytics

Currently we are engaged in the following projects, initiatives and or cooperations:

• CIDAS
• NFDI

Our portfolio includes e. g. the following related services:

• Jupyter Notebooks
• Statistic Programs

We also offer topics for theses in this area from time to time. If you are interested please check out the topic list.