The quest for causality -- Stats in the wild: good data practices -- Bivariate OLS: the foundation of statistical analysis -- Hypothesis testing and interval estimation: answering research questions -- Multivariate OLS: where the action is -- Dummy variables: smarter than you think -- Transforming variables, comparing variables -- Using fixed effects models to fight endogeneity in panel data and difference-in-difference models -- Instrumental variables: using exogenous variation to fight endogeneity -- Experiments: dealing with real-world challenges -- Regression discontinuity: looking for jumps in data -- Dummy dependent variables -- Time series: dealing with stickiness over time -- Advanced OLS -- Advanced panel data -- Conclusion: How to be a statistical realist.