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Data Science Boot Camp

Summer 2025

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Registration Deadlines

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All Erdős Summer 2025 Career Launch Cohort or Alumni Club members who are not participating in the UX Research nor Deep Learning Boot Camps

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Category

Launch, Core Program, Boot Camp, Projects, Certificates

Overview

The Erdős Institute's signature Data Science Boot Camp has been running since May 2018 thanks to the generous support of our sponsors, members, and partners. Due to its popularity, we now offer our boot camp online three times per year in two different formats: a 1-month long intensive boot camp each May and a semester long version each Spring & Fall.

Slack

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 5

Predicting Problematic Internet Use

Daniel Visscher, Emilie Wiesner, Aaron Weinberg

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github URL

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?”

TEAM 26

Continuous Glucose Monitoring

Daniel Visscher,Margaret Swerdloff,Noah Gillespie,S. C. Park,oladimeji olaluwoye

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github URL

The idea of the project is to predict high glucose spikes from continuous glucose data, smartwatch data, food logs, and glycemic index. The dataset consists of the following:
1) Tri-axial accelerometer data (movement in subject)
2) Blood volume pulse
3) Intestinal glucose concentration
4) Electrodermal activity
5) Heart rate
6) IBI (interbeat interval)
7) Skin temperature
8) Food log
Data is public in: https://physionet.org/content/big-ideas-glycemic-wearable/1.1.2/#files-panel

First Steps/Prerequisites

Computer Setup Day/First Steps
There are some computer set up steps you need to complete before the first lecture. We will meet on 09/05/2024 on Zoom to make sure that we have all done the following:
  1. Cloned the GitHub repo locally
  2. Installed the conda environment.
  3. Run a Jupyter Notebook using that conda environment.
Detailed instructions (created by teaching assistant Ness Mayker Chen) can be found at this link.
 
We will test your ability to do these things by having you submit a "secret code". You will obtain this code by successfully running the notebook
 
computer_setup_day/find_secret_code.ipynb
 
When you have obtained the code put it in the textbox at https://www.erdosinstitute.org/ds-boot-camp-prep
 
If you can do these things independently please show up to help your colleagues!
If you cannot do these things independently please show up to get help from your colleagues!
 
Prerequisites
 
In addition to these computer setup steps there are also some content prerequisites:
  1. Base level familiarity with Python
  2. Differential calculus. Ideally you also know some multivariate differential calculus and linear algebra.
  3. Basic statistics and probability

Program Content

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Course materials are available on github through the following link:

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Request Access to GitHub

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Program Content

Textbook/Notes

Project/Homework Instructions

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Project/Team Formation
Project Submission
Projects README

Schedule

Click on any date for more details

Please check your registration email for program schedule and zoom links.

Project/Homework Deadlines

©2017-2025 by The Erdős Institute.

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