Machine Learning and Data Analytics in Finance and Accounting

About

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.

Course leader

Dr. Gereon Hillert Dr. Andreas Woltschläger

Target group

Bachelor students, Master students as well as young professionals and scientists with an interest in machine learning and data analytics.

Course aim

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.

Fee info