In this course, students learn to combine modern analytical skills and the possibilities of data in order to create a compelling story. We teach students how to look critically at common beliefs and stories about economics and business. Students need to be able to detect what could be true and what not. After this course they can quickly dissect data stories. They are also able to tell a story themselves using data. This means that they can collect the (raw) data and transform this into a message which is visually appealing and convincing.
Introduction to data-analysis (or equivalent)
Some experience with R or Python
This course provides a broad introduction to data communication. The teaching activities comprise two blocks which run in parallel. At the one hand there is a technical component. How can you find data? How to get it into R? How do we make data tidy? etc.
At the other hand, there is a more soft component. How do we tell a story? How to engage an audience? How do we not that a story is correct?
Type of Instruction
Lectures, tutorials, practica
Type of exams
Permanent evaluation + final assignment(s)
- Kieran Healy, Data Visualization: A practical introduction. socviz.co