Bad graph of the week is iconic
Causal inference explained through city data — bus routes, housing vouchers. Readings are heavy but he summarizes each one. Problem sets in R are long but well designed.
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Associate Professor of Data Science
“Causal inference for messy public-sector data.”
Samuel Reyes completed his PhD with David Okafor and now leads the Civic Data Lab at Pacific Crest. His course on causal inference is known for its weekly 'bad graph of the week'.
Causal inference explained through city data — bus routes, housing vouchers. Readings are heavy but he summarizes each one. Problem sets in R are long but well designed.
Midterm and final are both conceptual and tricky. Go to discussion section. He is a great lecturer.
Tomás Alvarez, Helen Q. Zhao, Samuel Reyes
Journal of Public Algorithms OASample