30 July 2021
Machine Learning and Data Analytics in Finance and Accountingblended course
This course aims at making you familiar with basic machine learning approaches and data analytics techniques by enabling you to use them to your professional benefit. Adopting a user perspective, you will learn to automate simple, but time-consuming tasks such as classification of analysts’ conference calls into economically meaningful content.
Additionally, the course enables you to tackle complex prediction tasks using different information sources. Finally, the course gives you relevant data analytics skills such as the description, visualization and statistical analysis of such predictions. We will use the programming language Python to apply the above concepts.
All essential programming skills are taught in this course and there are no prior programming skills required.
Dr. Gereon Hillert
Dr. Andreas Woltschläger
Bachelor students, Master students as well as young professionals and scientists with an interest in machine learning and data analytics.
Handle large amounts of data (quantitative and qualitative data). Cope complicated real-world financial problems (e.g. loan default risks or price and volume forecasts) using machine learning approaches.
60 contact hour worth up to 6 ECTS credits
EUR 300: Registration Fee
EUR 1050: Tuition