teaching
Undergraduate and graduate instruction.
Programming for Business Analytics (Undergraduate)
An undergraduate introduction to data analysis with R for business: wrangling and visualizing data, evaluating causal claims, linear regression, and quantifying uncertainty.
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A graduate course on empirical analysis with R: from data wrangling and visualization to causal reasoning, regression, and uncertainty quantification, culminating in a research-grade project that prepares students for Experiments and Causal Inference.
View CourseExperiments and Causal Inference
A graduate seminar on experimental and quasi-experimental designs for causal inference.
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