The understanding of research methods to analyze (large) datasets becomes ever more important. To use analytics to solve research problems, you need to have a solid background not only in the available statistical methods, but also in the inherent boundaries of these statistical methods. This course teaches technical skills in R while simultaneously deepening the understanding of modelling, research designs, and the limitations of data analysis.
Dr. Rafael Wilms
Course Description
The understanding of research methods to analyse large datasets and how these methods can be used to compare countries and cultures becomes ever more important. To use analytics to solve research problems, you need to have a solid background not only in the available statistical methods, but also in the inherent boundaries of these statistical methods. This course teaches technical skills while simultaneously deepening the understanding of modelling, research designs, and the limitations of data analysis.
For the course manual please click here.
Study Characteristics
- Study period: October 2025– December 2025 (Period 2)
- Credits: 5 ECTS
- Tuition fee: €1250 (20% discount for early bird registration)
- Registration deadline: 12-10-2025 (early bird registration: 28-09-2025)
- Recommendation: This is an ideal course for first year students.
- The course consists of hands-on tutorials, alternated with more generic reflections on the materials when needed. It is very important that you actively apply what you’ve learned during the tutorials. Practice is vital to mastering a programming language. We will meet twice a week in the first two weeks of the course, and twice a week in week 5 and 6. You are expected to work on the assignments in the weeks where no tutorials are planned. Although the tutorials are not mandatory, your attendance is highly recommended to keep up with the course materials.
- During the course you’ll work on two assignments. During week 1-4, you work on assignment 1 (available on Canvas). During week 5-8 you work on assignment 2. Note that at the start of week 5 we introduce assignment 2. At the end of week 3 (Friday 23.59) and the end of week 6 (Friday 23.59) you have to submit drafts of your assignments using Canvas. These drafts will receive feedback from your fellow students. At the end of the course, you need to hand-in a revised version of both assignments. Please prepare for the tutorials by reading the assignment beforehand and downloading the data in advance.
- Admission requirements: All participants are expected to be proficient in English
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Course Description & Study Characteristics
Course Description
The understanding of research methods to analyse large datasets and how these methods can be used to compare countries and cultures becomes ever more important. To use analytics to solve research problems, you need to have a solid background not only in the available statistical methods, but also in the inherent boundaries of these statistical methods. This course teaches technical skills while simultaneously deepening the understanding of modelling, research designs, and the limitations of data analysis.
For the course manual please click here.Study Characteristics
- Study period: October 2025– December 2025 (Period 2)
- Credits: 5 ECTS
- Tuition fee: €1250 (20% discount for early bird registration)
- Registration deadline: 12-10-2025 (early bird registration: 28-09-2025)
- Recommendation: This is an ideal course for first year students.
- The course consists of hands-on tutorials, alternated with more generic reflections on the materials when needed. It is very important that you actively apply what you’ve learned during the tutorials. Practice is vital to mastering a programming language. We will meet twice a week in the first two weeks of the course, and twice a week in week 5 and 6. You are expected to work on the assignments in the weeks where no tutorials are planned. Although the tutorials are not mandatory, your attendance is highly recommended to keep up with the course materials.
- During the course you’ll work on two assignments. During week 1-4, you work on assignment 1 (available on Canvas). During week 5-8 you work on assignment 2. Note that at the start of week 5 we introduce assignment 2. At the end of week 3 (Friday 23.59) and the end of week 6 (Friday 23.59) you have to submit drafts of your assignments using Canvas. These drafts will receive feedback from your fellow students. At the end of the course, you need to hand-in a revised version of both assignments. Please prepare for the tutorials by reading the assignment beforehand and downloading the data in advance.
- Admission requirements: All participants are expected to be proficient in English
Would you like to register or want to know more?
Please register with the Apply Now button at the top of this page. For more info please contact the course coordinator Rafael Wilms: