Statistics with R 2500-PL-PS-FS-16
This course has not yet been described...
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Term 2025L:
"This course consists of 30 hours of workshops introducing the R programming language. Within its framework, participants will learn basic operations on data in R, such as loading data, manipulating data and joining datasets, visualizing data, and performing basic statistical tests. The course also emphasizes effective ways to independently deepen knowledge of R. Participants will be encouraged to work systematically throughout the semester through weekly homework assignments that will enable them to independently develop solutions to various problems. Participants who complete the course will gain competence in the R programming language and will be able to independently perform basic operations and analyses. They will be able to apply the acquired knowledge and skills to analyze datasets from their own research. Throughout the course, participants will learn to: |
Prerequisites (description)
Course coordinators
Learning outcomes
"The students who complete this course will gain competence in the R programming language and will be able to perform basic operations and analyses on their own. They will be able to apply the knowledge and skills gained in the course to analyze datasets from their own research.
Knowledge
The student:
- Knows basic interface of RStudio
- Understands the specificity of R programming language
- Knows the types of objects present in R
- Knows the types of data structures in R
- Knows what loops and functions are in R
Skills
The student:
- Can create their own loops and functions in R
- Can load different data formats into R
- Can manipulate and join datasets in R
- Can make simple visualizations using ggplot2 package
- Can compute basic summary statistics
- Can perform basic statistical analyses in R
Attitudes
The student:
- Can independently look for solutions to basic problems encountered in R
- Understands the importance of building readable and reproducible code for research"
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: