Course material and presentation will be at an introductory level. 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. I learned valuable information while having fun, improved my social skills. Students will also consider the ethical dimensions of working with data and learn strategies for translating quantitative results into actionable policies and recommendations. Overall, my experience in Stanford Summer Session 2021 was extraordinary. 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. Some statistical background or programming experience is helpful, but not required. 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. The Stanford Summer Humanities Institute is a three-week residential program where rising high school juniors and seniors can explore the big questions at the. Topics covered include introductions to data visualization techniques, summary statistics, regression, prediction, sampling variability, statistical testing, inference, and replicability. You have been approved to live on campus during the summer quarter. I am writing to follow-up on the status of your summer housing request. Each week consists of three lectures and two labs, in which students will manipulate real-world data and learn about statistical and computational tools. The following message was emailed to undergraduate students approved to live on campus this summer. Students will engage with fundamental ideas in inferential and computational thinking. This course will provide a hands-on introduction to statistics and data science.
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