|
 |
|
|
||||||
|
||||||
|
|
|
|
Over the last few years, typical data science tasks like data manipulation and modelling have gained a stronger foothold in the day-to-day professional life of the actuary. Open-source languages are renowned to be especially equipped to deal with these kinds of tasks, but can also be tricky to get started with, especially without a proper introduction. This workshop offers the opportunity to become more familiar with the open-source environment and its applications, illustrated in detail by means of several hands-on modules, thereby enabling the actuary to tackle the data science tasks in an elegant manner.
Open-source tools like R, Python and more recently Julia have gained a lot of momentum in recent years, not just in popularity but also in the amount of contributed code. Their respective communities are nowadays no longer exclusively composed of academic researchers and scientists, but also of professionals of all sorts of backgrounds, especially since the industry and corporate world have understood the added value of ‘community driven software’ and started to plug open-source tools into their processes and corporate tissue.
On top of this, actuaries are confronted with the same issues as academic researchers and scientists: the production of readable, shareable and reproducible code and results. This workshop will only focus on the 'scientific stack' of Python.
Programme Monday, 30 November 2026 08:30-10:00 Python Basics 10:00-10:15 Break 10:15-11:45 Importing and manipulating your data in Python 11:45-12:00 Break 12:00-13:00 Showing (off) your work: how to visualize and report in Python
Tuesday, 1 December 2026 08:30-10:00 Actuarial applications 10:00-10:15 Break 10:15-11:45 Exercise session in Python 11:45-12:00 Break 12:00-13:00 Exercise session in Python
Early-bird discount is available for bookings made by 19 October 2026.
This session is Part 2 of the full series 'Open-Source Tools R & Python: Extending the Toolbox of the Actuary' scheduled for 23/24/30 November and 1 December 2026, from 08:30 to 13:00 CET, and may also be attended as an independent part of the series.
The sessions on 23 and 24 November will cover R, while the sessions on 30 November and 1 December will cover Python. |
|
|
 |
|
|
|
Coming soon...
|
|
CERA, Module B: Taxonomy, Modelling and Mitigation of Risks | 7-10 September 2026
Climate Change Scenarios: Application, Evolution, and Reporting | 5 October 2026
Generative AI for Synthetic Actuarial Data | 10 November 2026
Explore our website for more information and discover all our upcoming events. For more insights, updates, and a bit of actuarial fun, feel free to follow us on LinkedIn! |