29/30 Oct 2018 in Cologne
Open Source Tools R and Python - Extending the Toolbox of the Actuary
Over the last years, typical data science tasks like data processing and modeling 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 kind of tasks, but can also be tricky to get started with, especially when one has not been properly introduced to them. This workshop offers the opportunity to become more familiar with the open source environment and their applications, illustrated in detail by means of a number of hands-on modules, hereby 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 number 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. In the actuarial community, R already is a fairly known and used open source language, Python however a little bit less, even if it's also packed with potential and even if it disposes of a vast biosphere of its own. This workshop will also focus on the 'scientific stack' of both R and Python and draw some comparisons between both worlds where we will try to show that it’s not a matter of choosing between both ecosystems but of choosing the best of both (continuously evolving) worlds.
This seminar is suited for all actuaries who like to broaden their existing IT toolset. Basic knowledge regarding data analysis and/or development of actuarial tools is useful, yet not required. Knowledge of R and Python is not required, as we will start the workshop from the basics of both languages during the first sessions.
Attendees are encouraged to bring a laptop computer with R and Python installed (*).
(*) prior to the seminar, we will supply the participants with an exhaustive list of packages/libraries that need to be installed additionally to the above tools, as well as a description of how to install them.
Purpose and Nature
Luc KestersLuc Kesters is a consulting life actuary for over 20 years. The last 15 years he’s working with Vereycken & Vereycken, a Belgian based insurance software development and consultancy company, on actuarial and IT related jobs with a strong focus on reporting. During his career IT solutions and technology have always taken up an important part of his work. In that context, he uses Python amongst others on a daily basis.
Robin Van OirbeekRobin Van Oirbeek, after working as a statistical/actuarial consultant for different companies, is now working as the lead of the technical innovation (regarding modeling and tooling) of the non-life actuarial team at Belfius Insurance. He is also part-time academic as visiting professor at the AFI – Research Centre Insurance of the Faculty of Economics and Business at the KU Leuven. He uses R, amongst others, on a daily basis and this for over 10 years now.
Venue & Accommodation
The seminar will take place at the hotel
AMERON Hotel RegentMelatengürtel 1550933 Cologne, GermanyPhone: +49 221 54990E-mail: email@example.comHotel website
We have arranged special prices for accommodation.The special sigle room rate is 120 € per night including breakfast and VAT, excluding tax for the promotion and advancement of culture in the City of Cologne (further information). This price is valid for bookings by 13 October 2018 out of our allotment “EAA Seminar”. Please book your accommodation directly with the hotel using this booking form. Kindly book early, as our allotment includes a limited number of rooms, and note the hotel’s cancellation policy.