Course 2: Introduction to R for Data Analysis
Dr. Stefan Jünger, Dr. Johannes Breuer
Date: 03.08 - 07.08.2020
Location: Online via Zoom
[This is a 24 hour class.]
The open source software package R is free of charge and offers standard data analysis procedures as well as a comprehensive repertoire of highly specialized processes and procedures, even for complex applications. In addition to 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.
A detailed syllabus for this course is available for download here.
Participants will find the course useful if they want to use R to wrangle, explore, visualize and analyse their data.
By the end of the course participants will:
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 then be discussed before the start of the next lecture part.
Software and Hardware Requirements