Data Science Boot Camp
Fall 2025
Sep 10, 2025
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Dec 19, 2025
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Registration Deadlines
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Category
Launch, Core Program, Boot Camp, Projects, Certificates
Overview
In this bootcamp, we will develop the skills needed to complete a data science project from start to finish. This includes defining a problem in quantitative terms, identifying key performance indicators (KPIs), acquiring and cleaning data, exploring patterns and trends, and transforming raw data into meaningful variables. We will then build models for prediction and inference, focusing primarily on supervised learning methods for regression and classification.

Click here to be invited to the slack organization: The Erdős Institute
Click here to access the slack channel: #slack-channel
Organizers, Instructors, and Advisors
Objectives
The goal of our Data Science Boot Camp is to provide you with the skills and mentorship necessary to produce a portfolio worthy data science/machine learning project while also providing you with valuable career development support and connecting you with potential employers.
Project Examples
TEAM 29
Who Regulates the Regulators?
Jared Able, Joshua Jackson, Zachary Brennan, Alexandria Wheeler, Nicholas Geiser




With recent major cuts to governmental regulation agencies in the US, we investigate whether those cuts are justified. In particular, we analyze the efficacy of RGGI, a state-level cap-and-trade program designed to regulate CO2 emissions in power plants. By using synthetic controls, we answer the counterfactual question: "how would CO2 emissions look in a world where RGGI was never enacted?".
TEAM 5
Predicting Problematic Internet Use
Daniel Visscher, Emilie Wiesner, Aaron Weinberg




Internet use has been identified by researchers as having the potential to rise to the level of addiction, with associated increased rates of anxiety and depression. Identifying cases of problematic internet usage currently requires evaluation by an expert, however, which is a significant impediment to screening children and adolescents across society. One potential solution is to rely on data that is more easily and uniformly collected: the kind collected by a family physician, a simple survey, or by a smartwatch. The research question this project sets out to answer is: “Can we predict the level of problematic internet usage exhibited by children and adolescents, based on their physical activity and survey responses?”
Program Content
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Textbook/Notes
Note: our video player does not support playback speed options. You can find a third party browser extension which will allow you to modify video playback speed. For example, this one works for Chrome: video-speed-controller. If you would prefer to avoid a browser extension you can manually modify the playback speed in the javascript console as well: Speed up any HTML5 video player!
Project/Homework Instructions
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Schedule
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Phase 1 - Instruction and Project Completion: Sep 16 - Nov 5, 2025
Project Review & Judging: Nov 6 - Nov 12, 2025
Phase 2 - Intense Interview Prep & Career Connections: Nov 13 - Dec 19, 2025
Project/Homework Deadlines