Actuarial Data Science Après-Midi - Ausgebucht!! Für die Warteliste bitte ein Mail an Sekretariat@actuaries.ch senden
The Data Science working group of the SAA is happy to announce the second event focusing on the practical field of (actuarial) data science, that is offered as part of a new professional education opportunity based on the working paper and strategy developed for the SAA.
In the first talk, we will deal with the challenging task we are all confronted with when choosing among the myriad of data science tools and platforms available today. We will cover the various aspects that you need to consider and offer you a practitioner's view on how you can select the right data science tool chain to be successful in an insurance company.
In the second talk, we will focus on wrapping analytical and quantitative functionalities into user-interfaces by using R / Shiny. We present extensions, touch aspects of API & database integrations and, finally, highlight the building blocks of deploying R / Shiny apps in a DevOps setup such as creating containers and deploying them on associated platforms.
Finally, the last talk of this event will provide you with the essentials to get started with R Markdown. R Markdown is a complete ecosystem for authoring reports. We will cover how you can import and clean data, perform analytics and modelling and communicate your results, all within a single R-Markdown document. Finally, we will see how to compile reports in different formats such as PDF, HTML, or Word.
The number of participants is limited. Secure your participation and register now!
Organizer SAV | Working Group Data Science
Topic Infrastructure and Tools
Date & Time October 7, 2020 | 3 pm to 6 pm
Location Hotel St. Gotthard, Bahnhofstrasse 87, 8021 Zürich
SAV CPS 3
15:05 A practitioner's view on data science tools and platforms (David Lüthi, Zürich Versicherung)
16:10 R / Shiny & Extensions (Robert Schöftner, Helvetia Versicherung & core dynamics GmbH)
17:00 Introduction to R Markdown (Claudio Rebelo, Swiss Re)
Participation fee None
Registration Registration on the SAV website is required.
Participants This event is limited to 30 participants. First in time, first in line.