Introduction to R

About

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.

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

Course leader

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

Course aim

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

Fee info