| Detailed information |
| Original study plan |
Bachelor's programme Statistics and Data Science 2019W |
| Objectives |
Students can perform an exploratory data analysis and
visualize data in R
|
| Subject |
overview on functionality of R
methods of descriptive and explorative analysis for different types
of data (categorical and metric variables; uni- and multivariate data)
in practical case studies
|
| 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)
|
