Intro to Stats Data Analysis

3 Credits · Level: Undergraduate

Effective public policy relies on access to high-quality data and rigorous evidence. Without good data and appropriate evidence, it is difficult to determine the most effective strategies for achieving policy goals. To make informed decisions, we must accurately describe the world and assess the impact of policies based on reliable information. In this class, students will learn how to analyze data and conduct statistical analyses to understand policy issues. They will also learn about the obstacles to getting good answers to policy questions. The course begins with an in-depth analysis of the important distinction between correlation and causation. Students will learn about different types of data, how to assess the quality of data, and the particular challenges that arise with observational data. The course will then focus on statistical inference and the use of regression methods to study relationships among variables. At the end of the semester, students will have an appreciation for the role of high-quality data and appropriate statistical methods in evaluating public policies. They will also be well-prepared for courses in advanced quantitative methods for policy.