In today's data-driven world, the ability to extract insights from vast amounts of data is a critical skill for managers. This course provides an introduction to data science principles and techniques, empowering managers to make informed decisions and drive organizational success.

This course is designed for executives, managers, and decision-makers who recognize the transformative potential of data science in their roles. Whether you have a technical background or not, this course provides a practical and accessible approach to data science concepts, ensuring that participants can confidently apply data-driven strategies in their organizations. Join us and network with like-minded professionals as you enhance your skills and stay ahead in the rapidly evolving business landscape.

Technical Requirements
Please check with your IT department if your firewall and computer settings support web session participation (the programme Zoom will be used for this online training). Please also make sure that you are joining the web session with a stable internet connection.

The purpose of this course is to equip managers with the knowledge and practical skills needed to effectively leverage data science in their decision-making processes. By mastering data exploration, predictive analytics, and innovation, participants will be able to harness the power of data to drive strategic initiatives, optimize operations, and gain a competitive advantage.
Through a combination of theory, examples, and hands-on exercises, you will learn how to extract valuable insights from complex datasets, utilize predictive models for forecasting, mitigate risks and unlock the potential of data-driven innovation. Also, the exchange among the participants can provide valuable insights in the use of data science techniques throughout the different insurance companies.

The language of the web session will be English.

Prof Dr Jonas Offtermatt
is a full professor at the corporate state university of Stuttgart, teaching programming and business informatics. Since 2019 he is part of the lecturing team for data science of the German actuarial association. Before joining the scientific world, he worked as an executive for life and health insurance companies.