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Root number
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475115 |
Semester
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HS2024 |
Type of course
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Course |
Allocation to subject
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Psychology |
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.
Online meetings will be held (approximately monthly) to address open questions and to facilitate learning how the acquired R coding skills apply to conducting analyses in the context of, for example, writing a master’s thesis. Online meeting recordings will be uploaded to the ILIAS site. 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. |
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 |
Prof. Dr.
Jennifer Inauen, Institute of Psychology, Psychological and Behavioral Health ✉
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Robert Walter Edgren, Institute of Psychology, Psychological and Behavioral Health ✉
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ECTS
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2 |
Recognition as optional course possible
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No |
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. |