In 2019, I will offer two courses in the Radboud Summer School. The first course is the Social media theory and research. I have offered this course already for a couple of years to students at my department and at the Radboud Summer School.
Social Media Theory and ResearchWhat does typical social media data tell us about politicians’, journalists’ and citizens’ engagement in society? During this course, you will learn how to look at these actors’ online behaviour, their expressed opinions and sentiments as well as their interconnectedness (online social networks), using a multi-theoretical approach. Furthermore, attention will be devoted to the potential that social media data provide but also to its limitations.
The second course is new: Data Science with R. I’ve been using R as my main statistical tool for years, and it’s amazing software to do all kinds of analyses, more versatile than SPSS. And for free.
Introduction to Data Science with R and Rstudio for the Social SciencesWhether you are a social scientist, a business analyst or a data journalist, analyzing data is key to greater understanding of the world around us. To be able to understand quantitative data we need tools of high quality and, if possible, for free. R and R studio are free and multiplatform software applications for descriptive analysis, predictive, and causal analysis, and are increasingly adopted software tools for Data Science in academics, and business (e.g. Microsoft, Google).
I will teach these courses back to back, so you can take them consecutively. It may be interesting to do so, because some of the examples in the data science course will focus on social media data.
So, if you’re interested, stay tuned for more information about detailed content and how to enter the courses. This information will be available some time in January, 2019. More general information about the Radboud Summer School can be found here.