Why should actuarial students learn R?
"Introduction to the statistics software R for data analysis"
Since its development in the 1990s, the freely available programming environment and language R (https://www.r-projekt.org/) has increasingly developed into a standard application for statistical questions and data analysis in science and business. The number of users of R is now estimated at two million. R has also found its way into the insurance industry in recent years. The reasons for using R are numerous, including the optimized performance of the programming language for statistical calculations, the easy creation of high-quality graphics as well as scope, innovation cycles, transparency and assistance for methods of statistics and data analysis (especially in the area of machine learning ) to call.
As part of this workshop, we introduce the participants in detail to the work with the programming environment and language R within the user-friendly and freely available development environment R-Studio (https://www.rstudio.com/). We give an overview of the main features of the software and discuss their advantages and disadvantages. After an introduction to the basic operation of the R-Studio development environment, the participants learn basic programming with R, e.g. dealing with the object types provided in R and the syntax of the programming language. Then we convey the possibilities of data analysis in R. The participants first work out how data can be kept and processed. Then the participants learn how data can be descriptively evaluated, visualized and modeled.
The entire programming presented in the workshop is continuously demonstrated in R and practiced by the participants at the same time. The contents are then applied independently through extensive exercises.
After this workshop, the participants will be able to use the R environment independently for data analysis and to program it in the relevant language. The workshop therefore also offers the basic prerequisites for the advanced workshops “Data Analytics - How Insurers Can Use Their Data Intelligently”.
- Overview of R and R-Studio (characteristics, advantages and disadvantages)
- Operation of R in R-Studio (editor, console, help, etc.)
- Programming in R (objects, assignment, syntax, data structures, etc.)
- Data storage and processing in R
- Descriptive statistics with R
- Generation of graphics with R
- Linear models in R
All workshop participants receive comprehensive course materials (script, tutorials, exercises and sample solutions) on the individual topics.
Target group and requirements
With this 2-day workshop we are addressing people who want to learn how to use R and R-Studio fundamentally, in particular for the application in data analysis and to prepare for the advanced workshops "Data Analytics - How insurers can use their data intelligently" . Particular attention is paid to the practical design of the workshop.
No previous knowledge of R / R-Studio or other programming languages or statistical software is required for this workshop. There is also no need for in-depth mathematical-statistical knowledge or general experience in data analysis.
The contents of the workshop are processed continuously with the statistics software R within the R-Studio development environment. For this, the participants ideally bring a laptop with the installed software. We also offer fully installed laptops for hire.
Notes on R and R-Studio
Both R (https://www.r-project.org/) and R-Studio (https://www.rstudio.com) can be downloaded and used as freeware from the links provided.
R-Studio is a separate graphical user interface ("integrated development environment") for operating R. It is not absolutely necessary, but makes the use of R much more convenient and is used by the lecturers in the workshop. The use of R-Studio is therefore recommended for every participant.
Features of R-Studio:
- Easier entry / use of the programming language (e.g. through auto-completion, automatic indentation, colored syntax highlighting, code folding)
- User-friendly user interface (e.g. separate areas for scripts, command lines, folder directory, graphic output, help)
- integrated package management
- Assistance for the creation of graphics
R-Studio does not replace the installation of R, i.e. both R and R-Studio must be downloaded and installed in that order. We will provide the participants with further information on the software and the required packages in preparation for the workshop. In addition, the academy provides laptops with already installed software for the workshop.
The workshop is recognized as further training by the DAV.
The training hours can be entered directly on the DAV homepage.
Dr. Johannes Schupp
Institute for Finance and Actuarial Sciences, Ulm
Dr. Johannes Schupp is a Senior Consultant at the Institute for Finance and Actuarial Sciences (ifa), an actuarial management consultancy based in Ulm. The main focus of his consulting work is the application of modern data analytics methods for various questions in the insurance industry. His project activities include applications in all sectors, including modeling policyholder behavior in composite, predicting filing and performance behavior to optimize regulatory processes in private health insurance or in the context of risk modeling in motor insurance. Another focus of his consultancy work at ifa from 2014 is the modeling and development of innovative life insurance products.
In addition to his consulting work, Johannes Schupp is actively involved in scientific research. In March 2020 he completed his doctorate at the Institute for Insurance Sciences at the University of Ulm on the subject of "Trend processes in mortality models and management of longevity risk" and is the author of several specialist publications in this field. In addition, Mr. Schupp has been a lecturer in various courses at the Academy for Science, Business and Technology at Ulm University since 2018 and he is a member of the German Actuarial Association (DAV).
Dr. Martin Genz
Institute for Finance and Actuarial Sciences, Ulm
Dr. Martin Genz is a Senior Consultant at the Institute for Finance and Actuarial Sciences (ifa), an actuarial management consultancy based in Ulm. He has been working there since September 2013, focusing on different content. His advisory activities cover topics at the interface between actuarial and insurance technology, such as testing actuarial software, the conception and development of actuarial tools or the support of migration projects. Here and in other areas in the actuarial department, Mr. Genz also advises on the targeted use of agile methods. Another focus of his consulting work is the modeling and development of innovative life insurance products.
In addition to his consulting work, Martin Genz is actively involved in scientific research. In July 2019 he completed his doctorate at the Institute for Insurance Sciences at the University of Ulm on the subject of "Demographic indicators for measuring, classifying and predicting mortality trends" and is the author of various specialist publications in this field. In addition, Mr. Genz is a certified Scrum Master and a member of the German Actuarial Association (DAV).
- Practice-oriented advanced training with a minimum of 10 and a maximum of 20 participants
- All workshop participants receive comprehensive course materials.
- Duration: 2 days
Day 1: 10:00 a.m. - 6:30 p.m.
Day 2: 8:30 a.m. - 4:30 p.m.
- Date: June 29-30, 2021
- Location: Villa Eberhardt, Ulm
The participation fee for the 2-day training is 1020, - EUR including conference catering and training documents. If you register by May 3, 2021, the participation fee is reduced to EUR 970.
When booking the 2nd and 3rd workshop from the series
- "Introduction to the statistics software R for data analysis",
- Data Analytics - "How insurers can use their data intelligently" - basic course,
- Data Analytics - "How insurers can use their data intelligently" - intensive course
a discount of 10% is granted on the participation fee.
There is no right to participate. If the registration is canceled (only in writing) by the end of the registration period (May 31, 2021), we will charge a processing fee of EUR 70. If you cancel at a later date, the entire fee will be due. We are happy to accept a substitute participant. If the event is canceled by the AKADEMIE, the fee paid will be reimbursed. The AKADEMIE reserves the right to change the program for urgent reasons. The data you provide will be saved by us in accordance with Article 6, Paragraph 1, Letter b GDPR exclusively for processing your registration. Please also note the data protection declaration on our homepage. In addition, the AKADEMIE's terms and conditions apply.
Conference center Villa Eberhardt,
Heidenheimer Strasse 80,
Academy for Science, Economy and Technology at the University of Ulm e.V.
- Further education in finance and actuarial sciences -
Helmholtzstrasse 22, D-89081 Ulm
Tel .: +49 (0) 731 / 50-31248
Fax: +49 (0) 731 / 50-31239
Email: beate.renner (at) akademie-uni-ulm.de
Heidenheimer Str. 80, D-89075 Ulm
Tel .: +49 (0) 731 / 50-25266
Fax: +49 (0) 731 / 50-25265
Email: info (at) akademie-uni-ulm.de
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