Project management in firms operating on the digital frontend entails dealing with technicalities and processes that go beyond traditional management skills. Managers in such projects lead teams comprising data scientists, software engineers, and ICT specialists with diverging opinions about the approaches, data, and visualizations most appropriate for the project. How can the leaders make informed decisions on these topics? This course introduces the fundamental computer science concepts and techniques relevant to managers. The course aims to equip students with the essential knowledge and skills needed to apply and understand computational methods to economic analysis, modeling, and data analysis. Previous experience with data science can be helpful, but it is not required. The course begins with an overview of programming concepts and common activities that are relevant to data science. Then, it delves into advanced topics in programming, visualization, and data management.
- Understand and apply programming concepts and practices in R to solve data science problems
- Analyze and interpret economic data using appropriate tools and techniques
- Apply standard aggregation and visualization techniques to economic data
- Work effectively on data science projects in a team, including communicating technical data science ideas clearly and concisely
- Gain a high-level overview of the open-source R statistical software ecosystem and enrich and expand their knowledge of R libraries
This course is part of the prestigious part-time Goethe MBA Digital Transformation | Data Science | Sustainability program, 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 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.
Prof. Dr. Pantelis Karapanagiotis
Dr. Pantelis Karapanagiotis is a postdoctoral researcher in the Department of Operations at the University of Groningen. His expertise lies in mathematical microeconomics, focusing on efficient software solutions for large-scale mathematical decision modeling and econometric estimations using big data, statistical learning, and distributed technologies. His research interests include market models, game theory, and industrial organization. Dr. Karapanagiotis holds a background in mathematics and economics and has professional experience in software design and development. He is also a research affiliate at the Leibniz Institute for Financial Research SAFE and a researcher with the EurHisFirm consortium.
| Date | Session |
|---|---|
| Dates Coming Soon |