Advanced Data Analytics

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Summary

"Advanced Data Analytics" teaches practical skills in the application of modern data science methods for the analysis, processing and visualization of diverse data. "Advanced Data Analytics" enables the data-driven optimization of business processes, the development of innovative business models and the design of intelligent information systems that uncover new correlations and enable well-founded decisions.

Typical Questions

• Industry 4.0: How can structured and unstructured data be used to make business processes more efficient?
• Social media analytics: How can content and network structures in social media be analyzed in order to understand user behavior and uncover recurring patterns?
• Marketing: Which machine learning methods are suitable for specific analytical purposes and how can companies use them to predict the behavior of their customers?

Modules (Selection)

Introductory Level

• Machine Learning for Business Analytics (Prof. Dr. Zschech)
• Process Analytics (Prof. Dr. Zschech)
• Data Visualization (Prof. Dr. Wiener)

Advanced Level

• Artificial Intelligence for Advanced Analytics (Prof. Dr. Zschech)
• Gestaltungsaspekte der Advanced Data Analytics (Prof. Dr. Zschech, u.a.)
• Data-Driven Business Models (Prof. Dr. Wiener) 
• Prescriptive Analytics (Prof. Dr. Buscher)
• Anwendungen quantitativer Verfahren des industriellen Managements (Prof. Dr. Buscher)
• Wirtschaftsiwssenschaftliche Anwendungen mit R (Prof. Dr. Buscher)

Career Prospects

As a graduate of "Advanced Data Analytics", you can work in any company where data is used as a valuable resource. For example, as a data scientist for the analysis and preparation of data, as a consultant for data-based process optimization or as a developer for the implementation of AI and decision support systems.