This course will familiarize participants with the basic concepts of data science and business analytics in today´s data-rich digital environments. Specifically, this course will deal with questions of preparing the right information at the right time for the respective management teams using state-of-the-art teaching techniques such as business case studies, real-world data samples, and mini-exercises. We will deal in depth with management questions that revolve around data science, machine learning, and artificial intelligence, as well as concepts such as big data, the value of statistics and software engineering in data science and business analytics, and conducting field experiments and A/B-Tests to arrive at better management decisions.
- Understand the principles of management information and data aggregation
- How to answer management-relevant questions with data
- Know the core metrics to understand management issues and how to solve them
- Identify the relevant data to calculate and predict core KPIs
- Apply basic quantitative and statistical skills to determine KPIs from raw data
- Understand how machines learn and how to generate information from existing data for successful management
- Understand what big data is and how it can help you
- Understand how business analytics helps make better management decisions
This course is part of the prestigious part-time Goethe MBA, conducted in English on Fridays and Saturdays on Campus Westend. It offers a valuable opportunity to network and gain expertise without committing to a full degree program. As the number of seats is limited, we recommend to register early. If you're a GBS or Goethe University alumni, explore our attractive alumni discount options.
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Participants have the choice of completing the course with a qualified certificate or attending as a guest auditor. As an auditor, you are not required to complete assignments, take exams or earn academic credits.
| ECTS | Certificate | |
|---|---|---|
| Guest auditor | - | Certificate of Participation |
| Full participant | 5 CP | Qualified Certificate |
This course can also be upgraded to a Certificate of Advanced Studies (CAS) in Data Science & AI in combination with other courses from our Goethe MBA Digital Transformation | Data Science | Sustainability program.
Dr. Marius Liebald
Dr. Marius Liebald is a postdoctoral researcher at Goethe University Frankfurt, where he earned his PhD with the highest distinction in 2023. His research focuses on the intersection of Economic & Financial History, Political Economy, and Business Informatics. It aims to increase the understanding of current economic phenomena by analyzing historical events using the latest statistical methods and (partly self-developed) AI-based technologies. In addition to his academic writings, Dr. Liebald conducted a research stay at the Paris School of Economics in 2023 and has been awarded research grants from the German Research Foundation (DFG), the Fritz Thyssen Foundation, and the FAZIT Stiftung.
| Date | Session |
|---|---|
| Dates Coming Soon |