Program Overview

Pathways in Data Science

Course Description

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. You 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. You will study how data is collected and stored and then how it is explored, visualized, and communicated. Using Python, you will learn techniques for classification, prediction, inference, and regression. Through group projects, you will use these techniques to study a data science problem of your own choice. Visiting guest lecturers will broaden your perspectives by sharing how data science is used in their diverse fields, ranging from business applications to biology.

Course Criteria

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.

Academic Interest

• Computer Science
• Data Science
• Math
• Statistics
• Physical Sciences (e.g., astronomy, physics)

Application Materials

A complete application includes a transcript, two short essays, a letter of recommendation, writing sample, application fee, and a submitted parent confirmation. If you are seeking need-based financial aid, you must indicate that in your application before it is submitted.

Instructor(s)

Staff

Course Details

• Course Duration: 3 Week Immersion
• Session: Session 2
• Arrival & Departure Dates: July 5th - July 24th
• Course Dates: July 7th - July 23rd
• Class Days: Mon, Tue, Wed, Thu, Fri
• Class Time: 9:00 am - 3:00 pm
• Eligibility: 9th Grade, 10th Grade, 11th Grade
• Course Code: STAT
• Modality: Residential

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