This course provides an introduction to econometrics—a core set of analytical tools used to analyze data and identify causal relationships in economics. Combining theoretical foundations with practical experience in statistical programming, students learn to construct, estimate, and interpret econometric models. These models are essential for testing economic hypotheses, modeling complex relationships, and informing policy decisions. The course emphasizes regression analysis, with a focus on understanding when and how it can be used for causal inference. By the end of the semester, students apply these skills to develop an original research paper, demonstrating their ability to extract meaningful insights from data.