Big data is one of the buzzwords in today’s business world. Since computers became more and more central to modern commerce, businesses have access to large amounts of data, for example, on their customers or transactions. This gives companies the opportunity to extract useful information using statistical and machine learning methods in order to gain a competitive advantage. The big internet companies are the obvious examples, but the topic is also especially relevant for the financial industry (like with credit analysis, fraud detection, insurance and robo-advising). In many areas these new technologies will disrupt existing business models. The course will focus on the analysis of Big Data, and how it can be used for prediction, for example bankruptcies or stock prices. The course will focus on supervised learning techniques such as regression and classification.
Upon completion of this course, students will be able to:
Machine learning
Regression and classification
Supervised and unsupervised learning
Data analysis in R
This course is offered in the part-time Master in Finance program and may be attended on a “no credit” basis by individuals not enrolled in the program.
Course participants are visitors who are not responsible for assignments and do not take an exam or earn academic credits. As the number of seats in the course is limited, we recommend to register online early.
Steffen Juranek works at the Department of Business and Management Science at Norwegian School of Economics since 2017. He received his Ph.D. from Goethe University in 2012. His research focuses on the organization of firms and markets, and the role of intellectual property for firm strategy, financing and taxation. Steffen taught courses on statistics, management control, innovation management and intellectual property rights.
Course materials will be provided in electronic form.
English
Campus Westend of Goethe University Frankfurt.
A GBS certificate of participation is awarded upon completion of the course.
€ 1,900 (fee is exempt from VAT). The fee for GBS students or alumni amounts to € 800.
| Date | Session |
|---|---|
| Fri., April 5, 2024 | 13:00-15:00, 15:30-17:30 |
| Sat., April 6, 2024 | 09:00-11:00 |
| Fri., April 19, 2024 | 18:00-20:00 |
| Sat., April 20, 2024 | 11:30-13:30, 14:30-16:30 |
| Fri., May 3, 2024 | 13:00-15:00, 15:30-17:30 |
| Sat., May 4, 2024 | 09:00-11:00 |
| Fri., May 17, 2024 | 18:00-20:00 |
| Sat., May 18, 2024 | 11:30-13:30, 14:30-16:30 |
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