Machine Learning and Data Analytics in Finance and Accounting

About

1 week online, July 28 - August / 2 weeks in-class in Munich, August 4 -14
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. For example we will approach loan loss predictions or price and volume forecasts. Finally, the course gives you relevant data analytics skills such as the description, visualization and statistical analysis of such predictions. This is a hands-on class: We will use the programming language Python to apply the above concepts.

Course leader

Dr. Andreas Woltschläger, M.Sc., MBR

Target group

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

There are no prior programming skills required. However, an interest in numbers and logical relationships as well as a basic statistical knowledge are advantageous.

Prerequisites for participation are a good command of written and spoken English. Lectures, presentations and examinations will be held in English. Even though we do not require students to submit language test results, we urge students with poor language skills to abstain from applying. Knowledge of German is not a prerequisite.

In the interest of maintaining the program's high standards, the number of participants will be limited to 25.

Fee info