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Root number
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475115 |
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Semester
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HS2026 |
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Type of course
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Seminar |
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Allocation to subject
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Psychology |
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Type of exam
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Written exam |
| Title |
Data processing in R (E-Learning) |
| Description |
This e-learning course provides a practical introduction to data processing in R. Emphasis is placed on using code from the Tidyverse packages for data manipulation and visualization. All learning materials are provided on the Datacamp online learning platform.
Students will learn in self-study the skills needed for data cleaning, manipulation, visualization, and how to perform simple descriptive and inferential statistical analyses.
The aim of the course is to introduce the students to the independent manipulation of a data set in R with regard to the master's thesis. For this purpose, the students learn independently in e-learning the basics of data preparation and the practical possibilities of data set preparation methods in R. Students also test their knowledge in online quizzes and the application of what they have learned in online exercises.
A forum on the ILIAS site is available for questions and exchange among participants.
Prerequisite for the seminar:
- Knowledge of the statistical basics taught in Statistics I-IV (Bachelor's programme).
- Personal initiative, motivation and time for coding in R.
IMPORTANT:
-Students cannot register to both this e-learning seminar and the methodological seminar: 'Dataset cleaning and preparation in R'. Students can only complete either this e-learning course or the method seminar.
-Registering for the course will automatically lead to registration to the performance assessment (i.e. being graded passed/failed). |
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ILIAS-Link (Learning resource for course)
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Registrations are transmitted from CTS to ILIAS (no admission in ILIAS possible).
ILIAS
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Link to another web site
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| Lecturers |
Dr.
Dario Baretta, Institute of Psychology - Health Psychology & Behavioral Medicine ✉
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Prof. Dr.
Jennifer Inauen, Institute of Psychology - Health Psychology & Behavioral Medicine ✉
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ECTS
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2 |
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Recognition as optional course possible
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No |
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Grading
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passed/failed |
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Dates
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Rooms
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| Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |
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