| Datafield | Value |
|---|---|
| Osiriscode | BFVH19DAVUR2 |
| ECTS | 4 |
| Assessment | Computer exam |
| Minimum grade | 5,5 |
| Lecturer(s)) | NOMI |
| Contact person | NOMI |
| Language | Nederlands/English* |
| * depending on the student population |
After taking this course, you should be able to
- apply standard statistical tests and interpret them
- combine flow control elements into single-purpose functions
- combine functions into a readable script
- Use the packages from the
tidyverseappropriately when relevant - work with date and time data
- design and implement a multistep data analysis, combining multiple data processing steps for a single goal
- perform an Exploratory Data Analysis (EDA) on a given dataset, and report this readable and reproducible using RMarkdown
This course is a continuation of the course Data analysis and visualization using R (1). The current course will build on more advanced techniques and packages and also focus on combinatorial skills.
Assessment This course will be assessed using a 2-hour practical computer test. The gitbook will be available as a resource.
Literature
- Recommended as background material: "R for Data Science" (Wickham & Grolemund, 2016)
Web
- Blackboard course of the minor
- https://michielnoback.github.io/bincourses/davur2.html
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- Hoor/werkcolleges
- You need to be enrolled in a Bachelor programme in the Domain of Applied Science.
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- You need to have followed the course Data analysis and visualization using R (1).
- Statistics course(s)
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