Learning outcomes
After the course the student is familiar with the R environment. Further, the student is familiar with the basic R operations and objects, data exploration and data visualization.
Contents
R is one of the most widely used software for statistics and data science. In this course, the students will have the chance to become familiar with basic R objects, operations, visualizations tools and programming. The course will have in-class and online components. The online material (more information here: http://www.uta.fi/cast/events/Ronline.html) should be done before the first day of the course or between the two in-class days of the course. The second in-class day of the course will offer the chance to get a deeper knowledge about R and to analyze own data.
Teaching methods
| Teaching method | Contact | Online |
| Lectures | ||
| Independent work | ||
| Exercises |
Teaching language
EnglishModes of study
- Degree Programme Students
- Other Students
- Open University Students
- Doctoral Students
- Exchange Students
Evaluation
Pass/fail.Belongs to following study modules
2018–2019