Organised by the EAA - European Actuarial Academy GmbH in cooperation with the Aktuarvereinigung Österreichs (AVÖ).

As the actuarial field evolves with technology, learning Python has become increasingly important. Python is a versatile programming language that enables actuaries to efficiently handle large datasets, perform complex statistical analyses, and apply machine learning techniques. Whether you are working with pricing models, risk assessments, or data visualization, Python can significantly enhance your productivity and decision-making.

In this seminar, we will cover:

1. Python Basics: An introduction to Python programming, focusing on data structures and fundamental syntax.
2. Data Manipulation: Working with datasets using Pandas for data cleaning and transformation.
3. Data Visualization: Creating insightful charts and graphs using Matplotlib and Seaborn.
4. Machine Learning: Applying basic machine learning models to actuarial data.

This seminar is designed to give you hands-on experience and practical knowledge of how Python can be a valuable tool in your day-to-day work.

This seminar is suited for actuaries (and actuaries in training), interested persons and for everyone who wants to get to know the topic (more precisely). Previous knowledge in programming is not necessary. As participants have to solve programming exercises throughout the seminar, a laptop with internet access is mandatory.

The purpose of this seminar is to equip actuaries with practical Python skills that they can apply directly to their professional work. Python offers powerful tools for data analysis, visualization, and machine learning, making it an invaluable asset in modern actuarial tasks.

The seminar is structured to provide a mix of interactive learning methods. We will use Python notebooks to combine theoretical teaching with hands-on programming exercises. Participants will not only receive direct instruction but also engage in self-guided practice and group exercises, ensuring a deeper understanding of the material.

The language of the seminar will be English.

Jonas Offtermatt
Prof Dr Jonas Offtermatt is a professor at DHBW Stuttgart specializing in programming, software engineering, actuarial data science, and insurance mathematics. He has held leadership roles in the insurance industry and is an expert in insurance analytics and data science. Prof. Offtermatt is also a member of the Deutsche Aktuarsvereinigung (DAV) and contributes to actuarial education through teaching and research in areas such as data protection and data science in insurance.

Alexander Brandt
Before his appointment as Professor of Data Science and Digital Technologies at the Baden-Württemberg Cooperative State University (DHBW) in Stuttgart in 2023, Dr Alexander Brandt, who holds a doctorate in Physics, spent over 16 years at Robert Bosch GmbH in various leadership roles in Germany and abroad. His work focused on developing advanced algorithms and shaping marketing strategies for vehicle safety systems. Most recently, he served as Chief Expert, utilizing large language models to support automotive market observation and understanding.