The workshop will take place on August 4, 2025, on Zoom and Youtube Livestreaming
About The Data Science Summer School
The Data Science Summer School is a series of theoretical and practical workshops on the exciting methods and technologies currently employed by industry, government, and civil society to address the world's most complex problems today. It is organized by the Hertie School Data Science Lab with funding and support from the Hertie School and the Dieter Schwarz Foundation
Workshop Details
This workshop focuses on the very beginnings of a great journey ahead of you: learning how to use and be comfortable with the statistical programming language R. Together we will explore the basics, from the working environment itself, creating functions for simplifying your tasks, to data management with the tidyverse package. The overarching goal of the workshop is for you to receive the necessary skill set that will enable you to soon embark on your own data science adventures. That being said, the most important aspect of the workshop will be to have fun along the way so that your journey can begin as smoothly and easily as possible.
To do list before the class
Intruction on how to install R
Content Licensing
All workshop materials and recording are under Creative Commons Attribution-NonCommercial-ShareAlike 2.0 license. You are free to share — copy and redistribute the material in any medium or format, and adapt — remix, transform, and build upon the material. However, you must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
Workshop Materials
To be updatedInstructor
Sebastian Ramirez Ruiz
Sebastian Ramirez Ruiz is a doctoral candidate and a Research Associate at the Hertie School in Berlin. He will be a postdoctoral researcher at the European University Institute in Florence, Italy from September 2025. His research interests lie at the intersection of public opinion, political communication, and behaviour, with an emphasis on evidence synthesis and quantitative methodological rigor. He can often be found teaching the tutorials for the Statistical Modeling and Causal Inference course or somewhere in Berlin debugging his code. Sebastian holds a Master of Public Policy and B.A. in Sociology and Political Science.
Schedule (Central European Summer Time - CEST)
Session Starts
Introduction to R Programming for Data Science (Part I)
Short Break
Session Continues
Introduction to R Programming for Data Science (Part II)