Recommended

Introduction to R

Course description

R is a powerful programming language and statistical environment that is free to use and offers extensive data analysis and graphical visualization capabilities. This course takes participants from the initial introduction to R to the basics needed to further develop their skills independently or in subsequent R courses. In terms of content, the course covers the basics of programming in R. The course consists of short lecture sections, live coding, and many hands-on exercises to directly apply your new learning.

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HPC Series: Python on HPC Clusters

Short description
For May of 2025 we recommend the HPC Series: Python on HPC Clusters course, offered by the Jan Steiner and Shayma Wahdan at University of Bonn. The course will teach you some of the Python-related topics beyond the absolute basics of the language - things you will likely run into as a scientist using Python.

The course is spread over two half-days. It will be held as a hybrid course - both online via Zoom and in person at HRZ (Wegelerstr. 6), room 0.012. The course language is English

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Advanced R for Econometricians

Short description
For April of 2025 we recommend the Advance R for Econometrics Seminar, offered by the University of Duisburg-Essen. The course teaches advanced topics in R programming that become increasingly relevant for everyday applications in both applied and theoretical econometrics and empirical economics. It covers, amongst other topics, advanced concepts in programming (object orientation, profiling, debugging), packages for modern applications in data science and cutting-edge R extensions, e.g., for parallel computing and C++ integration.

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