What is it about?
This article showcases how to teach an interactive one-semester-long statistics and programming class. I propose a project-based seminar that also inherits elements of an inverted classroom. Thanks to this character, the seminar supports the students' learning progress and can also create engaging virtual classes. Students are guided through a typical data science workflow in R. Along the workflow, students learn data management, data wrangling, and visualization and experience presenting first research results during a simulated mini-conference.
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Why is it important?
Learning programming requires practice and this paper gives a blueprint for a teaching and learning setting.
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This page is a summary of: Bringing the World to the Classroom: Teaching Statistics and Programming in a Project-Based Setting, PS Political Science & Politics, September 2021, Cambridge University Press,
DOI: 10.1017/s1049096521001104.
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