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Data Processing and Analysis in R (SL_034)
About Study Course
Department: Statistics Unit
Credit points / ECTS:2 / 3
Course supervisor:Māris Munkevics
Study type:Full time
Target audience:Pharmacy; Psychology; Nursing Science; Medicine; Political Science; Rehabilitation; Communication Science; Public Health; Dentistry
Language:Latvian
Branch of science:Mathematics; Theory of Probability and Mathematical Statistics
Objective
To introduce participants with open access programm R, its approaches in data processing and visualisation as well as with the most commonly used statistical analysis. Students will receive experience that will mitigate individual learning of more advanced data analysis methods.
Prerequisites
Previous knowledge in data analysis is considered beneficial.
Learning outcomes
Knowledge
Students enhance knowledge in the most commonly used data analysis methods.
Skills
Students acquire the skills to handle the open access data analysis tool R.
Competence
By strengthening the basic knowledge of data analysis and communication with R, it is possible to implement advanced data analysis methods.
Study course planning
Planning period:Year 2024, Autumn semester
| Study programme | Study semester | Program level | Study course category | Lecturers | Schedule |
|---|---|---|---|---|---|
| Elective courses, C-kursi | 1 | Free choice | Māris Munkevics |
