PGB119 Seminar on educational research: Data analysis and visualization in education

Faculty of Arts
Autumn 2025
Extent and Intensity
1/1/0. 4 credit(s). Type of Completion: z (credit).
In-person direct teaching
Teacher(s)
Mgr. Bc. Libor Juhaňák, Ph.D. (lecturer)
Guaranteed by
doc. Mgr. Martin Sedláček, Ph.D.
Department of Educational Sciences – Faculty of Arts
Contact Person: Mgr. Bc. Libor Juhaňák, Ph.D.
Supplier department: Department of Educational Sciences – Faculty of Arts
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.

The capacity limit for the course is 15 student(s).
Current registration and enrolment status: enrolled: 0/15, only registered: 0/15
fields of study / plans the course is directly associated with
Course objectives
The aim of the course is to acquire skills related to exploratory data analysis and data visualization. During this course, students will gain a basic insight into different kinds of data analysis. Students will be able to analyze different types of data using appropriate analytical methods and they will be able to describe analyzed data and their structure. Using appropriate visualisation techniques, students will be able to present analyzed data in a clear and comprehensible manner.
Learning outcomes
Upon completion of the course students will be able to:
- Realize an exploratory data analysis and write a data analysis report.
- Use different kinds of visualisation techniques to create effective visualizations of data.
Syllabus
  • The content of the course is divided into six basic thematic units:
  • 1) Introduction to exploratory data analysis
  • 2) Importing and taming of the data
  • 3) Data cleaning and transformation
  • 4) Data analysis
  • 5) Data visualization
  • 6) Communication of analysis results
Literature
  • Wickham, H. (2016). ggplot2: Elegant Graphics for Data Analysis. Springer International Publishing. ISBN 978-3-319-24275-0.
  • Wickham, H., Grolemund, G. (2016). R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. O'Reilly Media. ISBN 978-1-491-91039-9.
  • Tukey, J. W. (1977). Exploratory Data Analysis. Addison-Wesley. ISBN 0-201-07616-0.
Teaching methods
Direct instruction, seminar, independent study in the online support of the course.
Assessment methods
Students deal with practical assignments in an online support of the course. They need to gain required number of points in the course.
Language of instruction
Czech
Study support
https://elf.phil.muni.cz/
Further comments (probably available only in Czech)
The course is taught annually.
The course is taught every week.
Teacher's information
https://elf.phil.muni.cz/
The course is also listed under the following terms Autumn 2021, Autumn 2022, Autumn 2023, Autumn 2024.
  • Enrolment Statistics (Autumn 2025, recent)
  • Permalink: https://is.muni.cz/course/phil/autumn2025/PGB119