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The class will allow students to grow their ability to communicate ideas and insights with data. There are many components of a well-crafted narrative based on data---from a discussion of data sources to visualization, and from pattern detection to generalizable conclusions---which we explore in sequence across the quarter. The class does not introduce advanced data analysis techniques. It rather focuses on the essential elements of an inquiry conducted with data and places a special emphasis on how to record and communicate these. Each student enrolled in class needs to identify a dataset and a question that they are going to explore. As we examine the different components of a data inquiry, the students will carry out a corresponding analysis/writing assignment on the data they have identified, gradually building material for the narrative that will constitute their final paper. This course is strongly suggested as preparation for summer research experience in data science and statistics. Prerequisite: Stats191 or equivalent. (WIM)

Introduces students to the interdisciplinary intersection of data science and the social sciences through an in-depth examination of contemporary social problems. Provides a foundational skill set for solving social problems with data including quantitative analysis, modeling approaches from the social sciences and engineering, and coding skills for working directly with big data. Students will also consider the ethical dimensions of working with data and learn strategies for translating quantitative results into actionable policies and recommendations. Lectures will introduce students to the methods of data science and social science and apply these frameworks to critical 21st century challenges, including climate change, educational equity, health policy, and political polarization. In-class exercises and problem sets will provide students with the opportunity to use real-world datasets to discover meaningful insights for policymakers and communities. This course is the required gateway course for the new major in Data Science & Social Systems. Course material and presentation will be at an introductory level. Enrollment and participation in one discussion section is required. CS106A is the only prerequisite. Syllabus available here: https://docs.google.com/document/d/1fiGKmFStyQ2_Hr6E9jr-qHQaCx46JWxOyuhXsTfIQ8o/edit?usp=sharing