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Member rate £300.00
Non-Member rate £600.00
Save £45 Loyalty discount applied automatically*
Save 5% on each additional course booked
* If you attended our Methods School during the calendar years 2024 or 2025, you qualify for £45 off your course fee.
Date: Monday 16 – Tuesday 17 February 2026
Time: 08:30 – 12:30 CET
This course offers you an interactive online learning environment using advanced pedagogical tools, and is specifically designed for advanced students, researchers, and professional analysts. The course is limited to a maximum of 16 participants, ensuring that the instructor can address the unique needs of each individual.
This two day course is designed to make R more accessible to beginners and provide the skills and confidence you need to perform common analysis tasks in R. You will learn how to prepare and clean data for analysis, create engaging visualisations, and get introduced to statistics with R. By the end of the course, you will feel comfortable approaching these tasks independently in R.
You will also learn how to effectively use LLM coding assistants such as Claude, Gemini, and ChatGPT to support your work in R. By the end of this course, you will be able to write your own code as well as reason through LLM-generated code.
The course does not require any prior programming knowledge (R, Python, or any other language) and assumes no specific quantitative skills. This short course is open to everyone interested in exploring R.
ECTS credit aren't available for this course.
Akos Mate is a research fellow at the Centre for Social Sciences in Hungary. His key research area is the political economy of the European Union and its members’ fiscal governance.
He uses a wide variety of methods in his research, particularly automated text analysis (and attached various machine learning approaches), network analysis and more traditional econometric techniques.
The course consists of two live teaching sessions, four hours each. All R codes and data will be uploaded into the Learning Management System for you. The instructor will also offer designated office hours for one-to-one consultations.
The course does not require any prior programming knowledge (R, Python, or anything else) and there are no assumed quantitative skills neither. This short course is designed to be accessible to everyone who wants to discover R.
As a participant in this course, you will engage in a variety of learning activities designed to deepen your understanding and mastery of the subject matter. While the cornerstone of your learning experience will be the daily live teaching sessions, which total four hours each day across the two days of the course, your learning commitment extends beyond these sessions.
Upon payment and registration for the course, you will gain access to our Learning Management System (LMS) approximately two weeks before the course start date. Here, you will have access to course materials such as pre-course readings. The time commitment required to familiarise yourself with the content and complete any pre-course tasks is estimated to be approximately 20 hours per week leading up to the start date.
During the course week, you are expected to dedicate approximately two-three hours per day to prepare and work on assignments.
The course offers the opportunity to be awarded one ECTS credit. Should you wish to earn an additional credit, you will need to complete a post-course assignment, which will involve approximately 25 hours of work.
This comprehensive approach ensures that you not only attend the live sessions but also engage deeply with the course material, participate actively, and complete assessments to solidify your learning.
This course description may be subject to subsequent adaptations (e.g. taking into account new developments in the field, participant demands, group size, etc.). Registered participants will be informed at the time of change.
By registering for this course, you confirm that you possess the knowledge required to follow it. The instructor will not teach these prerequisite items. If in doubt, please contact us before registering.