Program(s): Immersion
This course is currently at capacity. We are admitting students to the waitlist only, and students who currently are on the waitlist will be given priority if places become available.
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 machine learning and see how researchers are applying them in various scientific and social science fields. 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 group projects, students will use these techniques to study a data science problem of their own choice in small groups. 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.
Remote or Residential
Course Considerations
Students should have experience with programming (preferably Python) and ideally calculus through single variable calculus (AP Calculus AB or equivalent). Students without programming experience must complete a free online Python course before the beginning of the course; information will be available from instructors in the weeks before the course begins.
Course Overview
Current Grade / Education Level
Program
Start Date
End Date
July 21
Class Details
Primary Instructor
Secondary Instructor
Academic Interest
Class Specifics
Course Code
Class Day(s)
Class Duration (CST)
3:00 P.M.