| Detailed information |
| Original study plan |
Bachelor's programme Statistics and Data Science 2025W |
| Learning Outcomes |
Competences |
| Students are able to work with the statistical programming language R and use it for data cleaning, and explorative data analysis.
|
|
| Skills |
Knowledge |
- Application for R for exploratory data analysis (k3)
- Application of R for data cleaning and data transformation (k3)
- Application of R for simple programming tasks (k3)
|
- Installing the R-Environment
- Basic data types and commands
- Structure of the R-Language
- R for data cleaning
- Functions and commands for exploratory data analysis including visualization
|
|
| Criteria for evaluation |
homework and exam
|
| Methods |
presentation by the instructor
computer work in class
presentation of homework by students and discussion
|
| Language |
German |
| Study material |
Hatzinger, Hornik und Nagele(2014).R: Einführung in die angewandte Statistik
|
| Changing subject? |
No |
| Further information |
The course can be taken in parallel to basic courses in statistics also by students from other programs.
|
| Earlier variants |
They also cover the requirements of the curriculum (from - to)
551GRUSEDRK18: KV Explorative Data Analysis in R (2018W-2019S)
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