Repository for "Data Science for Economists", a graduate course taught in the summer of 2024 at Bielefeld University.
This course provides an introduction to data science for economists. It covers the entire data science workflow: from data collection and data management to data analysis and data visualization. The course focuses on state-of-the-art applied methods and tools, and it is designed to equip students with the skills needed to work with data in practice. The course is taught using R.
Find more information on the course at https://datascience.julianhinz.com.
- Getting started: Course outlook and good research practice
- The toolkit: R and the shell
- New sources of economic data: Web scraping and APIs
- Large structured data
- Networks
- Spatial data
- Satellite imagery
- Event and sensor data
- Text as data
- Social media data
- OCR: Digitized data