R course for beginners 27 Feb – 01 Mar 2023
Welcome to register for the programming language R – a beginner workshop. This workshop aims at young and senior scientists who use R primarily for statistical data analysis, but also to (beforehand) process data with reproducible techniques and to (afterwards) present it in a modern and comprehensible way. The goal is specifically to learn statistical knowledge in an intuitive and practicable manner. The focus of this workshop is mainly on practical application, so that the methods mentioned below and their underlying theory are explained with the help of illustrative examples.
Lecturer: Dr. Paul SCHMIDT completed his PhD in biostatistics at the University of Hohenheim in 2019 and has been working as a data scientist in life sciences at BioMath since then. He also gives beginner and advanced workshops in R and likes when complicated methods are explained well, when results are presented in a concise yet beautiful manner, and when R does its magic.
Date: 27 Feb – 01 Mar 2023 – 3 days
Time: 09:00 – ca. 16:00 (CET) – 7 hours per day (including practical activities and self-learning/homework), lunch break between 12:00-13:00
Venue and format: Online via zoom. Pro-RUWA IT hubs/partner seminar rooms at the respective partner universities (University of Abomey Calavi – UAC (Benin), University of Abdou Moumouni de Niamey – UAM (Nigerà CEGLA, Pro-RUWA, WAC-SRT), and University of Dedougou – UDDG (Burkina Faso)) will be available. Learning materials can be accessed via DIGI-FACE (moodle-based). Please have current versions of the two open-source software packages R and RStudio installed before the beginning of the course.
Number of participants: 15 for the online lecture, up to 30 for self-learning option only
Costs: Free of charge
Eligibility: Master and PhD students, PostDocs, and lecturers working in the discipline of agriculture or related fields from one of the African Excellence Centres. Priority have students and staff of the Pro-RUWA partners (UAC, UAM, UDDG). The course will be in English (materials in French is available on request). External applications will be accepted if the space is available.
Application deadline: 23.02.2023 (CET). The application includes
- a short motivation letter (maximum one page, PDF)
- a CV (maximum two pages, PDF)
- an online form + the upload of the motivation letter and the CV (https://umfrage.uni-kassel.de/index.php?r=survey/index&sid=196399&lang=en)
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