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For everyone’s health and safety, Summer Session will not host students on campus for residential programs this summer. Many of our courses will be taught remotely online so that you can still explore your intellectual interests, gain insight into college life, and be a part of our distinctive learning community. We hope you will join us online this summer! Our Summer Session team is here to help via email at summersession@uchicago.edu.

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Pathways in Data Science

Program(s): Pathways

*Taught Online for Summer 2020*  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. Working with faculty from the Department of Statistics, 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, together with researchers from the University of Chicago Urban Labs, students will explore how these tools and methods can be used to inform social policy in multiple domains, including poverty, health, and social mobility.  Throughout the course, visiting guest lecturers will broaden students’ perspectives by sharing how data science is used in their diverse fields, ranging from business applications to biology.

Course Considerations

Programming experience is required (either some experience with two or more languages or extensive experience with one language).

Coding Intensive

Course Overview

Current Grade / Education Level

9th Grade
10th Grade
11th Grade

Program

Pathways

Start Date

July 14

End Date

July 31

Class Details

Primary Instructor

Kendra Burbank

Academic Interest

Examining Culture and Society
Math and Computer Science

Class Specifics

Course Code

STAT 10118 94

Class Day(s)

Mon Tues Wed Thurs Fri

Class Duration

9:00

3:00 PM

Session

Session II

Course Length

3 weeks