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AI & Machine Learning · 🏫 University of Pennsylvania

Wharton Data Science Academy

The program offers a rigorous, hands-on curriculum mirroring upper-level Wharton undergraduate courses, taught by Wharton faculty and mentored by Penn TAs, culminating in a capstone project with real-world applications.

🔥 High School 🕒 3-week Pre-College Program In-person Intermediate 💰 $10,599 total

About this camp

The Wharton Data Science Academy is an intensive, three-week pre-college program designed for high school students interested in machine learning and data science. The curriculum progresses from foundational statistical concepts, including data wrangling, visualization, probability, and hypothesis testing, to advanced topics like modern machine learning methodologies, neural networks, and large language models (LLMs). Students gain hands-on experience using R as the primary programming language, with selective use of Python for deep learning and LLMs. The program emphasizes not only technical skills but also the responsible use of data, addressing bias and fairness, and effective communication of findings. Participants work on daily hands-on projects with real-world datasets and collaborate in teams to complete a capstone project, culminating in a presentation to peers and mentors at the Data Science Live (DSL) showcase. Wharton instructors, who are data science experts, lead lectures and are available for support, alongside Penn undergraduate and graduate TAs who provide mentorship, lead recitations, and offer project coaching. The program aims to equip students with essential data science techniques and critical thinking skills, preparing them for future academic and career paths in the field.

What a typical day looks like

A typical day includes morning discussions on current events, a morning topics lecture, lunch, an afternoon topics lecture or guest speaker, and recitations or group work, with extracurricular activities available in the evenings.

Best suited for

This program is ideal for high school students in grades 10-11 with a strong background in math and coding, an interest in data analytics, and preferably some prior understanding of statistics, who are open to a rigorous curriculum.

What you'll learn

Data Wrangling and Visualization Probability and Statistics Regression and Classification Machine Learning Algorithms Neural Networks Large Language Models (LLMs) Ethics in Data Science

Location

University of Pennsylvania, Philadelphia, PA

Sponsored by Research Ignited

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