|
|
Over the last 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 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.
Your early-bird registration fee is € 600.00 plus 19% VAT for
bookings by 30 March 2023. After this date, the fee will be €
780.00 plus 19% VAT.
|
|
