Data Analytics and Metrics teaches statistical analysis of real-world data: obtaining data, conducting descriptive analyses, testing hypotheses, and communicating your results in words, numbers, and visualizations. It focuses on regression techniques and causal inference: the use of statistical methods to measure the impact of interventions. Students will develop skills to apply these techniques in R, a free and open-source statistical computing environment.
