Veranstaltung
Machine Learning for Business Applications [SS212530374]
Dozent/en
Einrichtung
- Institut für Finanzwirtschaft, Banken und Versicherungen
Bestandteil von
- Teilleistung Seminar Betriebswirtschaftslehre (Bachelor) | Wirtschaftsingenieurwesen (B.Sc.)
- Teilleistung Seminar Betriebswirtschaftslehre (Bachelor) | Technische Volkswirtschaftslehre (B.Sc.)
- Teilleistung Seminar Betriebswirtschaftslehre (Bachelor) | Wirtschaftsinformatik (B.Sc.)
- Teilleistung Seminar Betriebswirtschaftslehre (Bachelor) | Informationswirtschaft (B.Sc.)
Anmerkung
The digitalization is not only changing today’s society but also companies’ business models, in particular of the financial industry. In general, the large variety of digitalized processes and connected devices (Industry 4.0) generates a huge amount of data which can be used to extract valuable (investment) insights. For this task data science skills are essential.
In this seminar we will use modern data science techniques to analyze all kinds of financial and economic data, ranging from big data intra-day option prices to alternative datasets, like textual statements. For this empirical analysis we will use the state of the art Python programming language.
In a bi-weekly schedule you and your supervisor will first learn and discuss important data science concepts and then apply it in a practical FinTech-type analysis using real-world data. As a prerequisite students should already have basic finance knowledge.