The is a data science course with applications to economic problems. The data operations and analytics will be demonstrated in the R language.
After completing this course, students are expected to be fluent in a data science programming language and be able to independently conduct data analysis.
This course is design for students with economics training while are new to heavy duty data tasks. Programming experience is helpful, but not prerequisite.
- James, Gareth., Witten, Daniela., Hastie, Trevor., & Tibshirani, Robert. (2017). An introduction to statistical learning (Vol. 112, p. 18). New York: springer. (Open access at https://www.statlearning.com/)
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Reflection from Paul Romer on Jupyter notebook and open-source science.