Introduction to Data Science with R and Rstudio for the Social Sciences

About

Whether you are a social scientist, a business analysist or a data journalist, analysing data is key to greater understanding of the world around us. Whether it’s understanding political discussions online, the diffusion of news events, or the predictive power of certain indicators, systematic analysis improves business conduct, news analysis and reporting and understanding of human behaviour in general.

Course leader

Maurice Vergeer, Assistant professor Communication Science Radboud University

Target group

• Advanced Bachelor
• Master
• PhD
• Post-doc
• Professional

Students (advanced bachelor) and professionals with basic knowledge of methods and statistics. Journalists, interested in data journalism and data science, who want to know more on how to access online data repositories data, and government open data repositories. Business professionals who want to be able to be able to go further than the descriptive business analytics dashboards.

Course aim

After this course you are able to:

- Distinguish between different types of quantitative data.
- Choose the right analytical tool, given the data and research question.
- Analyse the data with R, to generate answers to research questions.
- Clearly communicate the findings in tabular or visual form.

Fee info