*Taught Online for Summer 2021* Learn how to glean insights and meaning from complex sets of data in this overview of a field with growing importance in business, government, and scientific research. Students will learn to use the transformational tools of data science and see how researchers are applying them in the service of social good. First, students will study how data is collected and stored, and then how it is explored, visualized, and communicated. Using Python, students will learn techniques for classification, prediction, inference, and regression. Then, through small group research projects, students will explore how these tools and methods can be used to inform social policy in multiple domains, such as poverty, health, and social mobility.
Daily Course Expectations
- 6 hours of daily work
- Mix of synchronous and asynchronous work (see definitions here)
- 1 required synchronous session per day: 9:00 A.M to 12:20 P.M CST
Programming experience is required (either some experience with two or more languages or extensive experience with one language). Some knowledge of Calculus is recommended, but not required.
Current Grade / Education Level