Scientific Coordination
Dr.
Sebastian E. Wenz
Tel: +49 221 47694-159
Sebastian E. Wenz
Tel: +49 221 47694-159
Administrative Coordination
Angelika Ruf
Tel: +49 221 47694-162
Tel: +49 221 47694-162
Please wait...
Course 6: Introduction to R for Data Analysis
About
Location:
Online via Zoom
Online via Zoom
General Topics:
Course Level:
Format:
Software used:
Duration:
5 days
Language:
Fees:
Students: 400 €
Academics: 600 €
Commercial: 1200 €
Keywords:
Additional links
Lecturer(s): Dr. Johannes Breuer, Dr. Stefan Jünger, Veronika Batzdorfer
Course description
The open-source software package R is free of charge and offers a variety of standard data analysis procedures as well as a comprehensive repertoire of highly specialized processes and procedures, even for complex applications. After providing an introduction to the basic concepts and functionalities of R, we will go through a prototypical data analysis workflow in the course: import, wrangling, exploration, (basic) analysis, reporting.
This course has 24 hours (instead of the usual 30) of total class time.
The detailed syllabus with course times and literature will be available soon.
Target group
Participants will find the course useful if they want to use R to wrangle, explore, visualize, and analyze their data.
Learning objectives
By the end of the course participants should be:
Organizational Structure of the Course
The best way to learn R is to try things out and apply the presented concepts. Therefore, we will have a mixture of lectures and hands-on exercises. More specifically, each topic will be introduced in a lecture by the instructors. Participants will then receive a set of exercises on each topic that they work on alone. The solution of the exercises will be discussed before the start of the next lecture part.
Prerequisites
Software and Hardware Requirements
Course participants need access to a computer with R (https://cran.r-project.org/) and RStudio installed (https://www.rstudio.com/). Both programs are free and open source.