This paper is from Session 5G: Designing Collaborative and Tailored Training in Statistics and Data Science
which comes under Topic 5: Statistics education in the workplace, government and across disciplines
Paper 5G3 (Thursday 12th, 16:00-17:30)
International Program in Survey and Data Science
Presenter
- Frauke Kreuter (University of Maryland/ University of Mannheim, United States/Germany)
Co-authors
- Evgenia Samoilova (University of Mannheim, Germany)
- Florian Keusch (University of Mannheim, Germany)
Abstract
Working professionals at statistical agencies, local governments, companies and non-profit organizations alike see themselves increasingly in the need to collect and analyze data. For some these data collection efforts are related to surveys, while others use administrative data or scrape information from the web. To generate useful insights based on these data, it is essential that data users are familiar with the whole process – i.e., from formulating the proper (research) question to disseminating results and data alike. To fill this knowledge gap, the German government funded the International Program in Survey and Data Science. The paper describes the development of the modular, partially asynchronous learning environment of the program that allows students to fully engage in a learning experience without having to quit their jobs.