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Course Description

Econ 224 is an applied data analysis course that will introduce you to key ideas from modern statistical learning and causal inference, and give you hands-on experience applying them to real-world problems. Topics will include regression, randomized controlled trials, classification, instrumental variables, shrinkage methods, random forests, regression discontinuity, and differences-in-differences. Econ 224 will make heavy use of the R programming language. For more information on the topics covered, see the schedule on the course syllabus, posted above.

Required Texts