This course is the required gateway course for the new major in Data Science & Social Systems. 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. 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. Students will also consider the ethical dimensions of working with data and learn strategies for translating quantitative results into actionable policies and recommendations. 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. Introduces students to the interdisciplinary intersection of data science and the social sciences through an in-depth examination of contemporary social problems. Freshmen and sophomores interested in data science, computing, and statistics are encouraged to attend.
The class will start with a brief introduction to R but will move at a relatively fast pace. Based on campus diversity, social scene, student reviews, and additional factors. Some statistical background or programming experience is helpful, but not required. Stanford Summer Session includes the most sought-after courses from departments in the schools of Humanities and Sciences, Earth Sciences, and Engineering.
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The objectives of this course are to have students (1) be able to connect data to underlying phenomena and think critically about conclusions drawn from data analysis, and (2) be knowledgeable about how to carry out their own data analysis later. Topics covered include introductions to data visualization techniques, summary statistics, regression, prediction, sampling variability, statistical testing, inference, and replicability. Each week consists of three lectures and two labs, in which students will manipulate real-world data and learn about statistical and computational tools.
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In addition to Stanford’s world-renowned faculty and libraries, the Summer Academic Resource Center (SARC) offers free academic support services including tutoring and academic advising to visiting and matriculated Stanford students enrolled in the University’s.
Students will engage with fundamental ideas in inferential and computational thinking. Stanford Summer Session is committed to robust academic support. This course will provide a hands-on introduction to statistics and data science.
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