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Data Science Boot Camp

May-Summer 2024

May 6, 2024

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Jun 5, 2024

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Registration Deadlines

May 7, 2024

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All interested participants

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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

#slack-channel

Organizers, Instructors, and Advisors

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Steven Gubkin, PhD

Lead Instructor

Office Hours:

MTWRF 12pm - 1pm ET, and by appt.

Email:

Preferred Contact:

Slack

Please feel free to message me on Slack with any questions!

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Alec Clott, PhD

Head of Data Science Projects

Office Hours:

By appt. only

Email:

Preferred Contact:

Slack

Participants are welcome to reach out to me via slack or email. I normally work standard EST hours (9am-5pm), but can always find time to meet folks via Zoom too after work. Let me know how I can help!

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 34

Aware NLP Project III

Mohammad Nooranidoost, Baian Liu, Craig Franze, Mustafa Anıl Tokmak, Himanshu Raj, Peter Williams

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github URL

This project involves the investigation and evaluation of different methodologies for retrieval for use in RAG (Retrieval-Augmented Generation) systems. In particular, this project investigates retrieval quality for information downloaded from employee subreddits. We investigated the impacts of using clustering, multi-vector indexing, and multi-querying in advanced retrieval methodologies against baseline naive retrieval.

First Steps/Prerequisites

Participants should have a base-level familiarity with Python. Participants should also be familiar with some basic math concepts. Finally, you will also need to have your laptop or desktop computer set up for the course. If you are new to Python, need a quick math refresher, or if you need help setting up your computer, then please follow the link below.

Program Content

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Program Content

Textbook/Notes

How to clone the GitHub Repo

Technical Support

This video will walk you through cloning the GitHub repo. It also addresses how to troubleshoot some common pitfalls.

Transcript
Code

Project/Homework Instructions

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Project/Team Formation
Project Submission
Projects README

How To Form Projects

Presentation Tips and Tricks (prerecorded)

This video should show you how to navigate the team formation process on the Erdos website.

Slides
Transcript

Project Pitch Hour

Participant project pitches (live)

This is a recording of the May 19th Project Pitch Hour

Slides
Transcript
Code

Schedule

Click on any date for more details

Problem Solving Session 1

May 6, 2024 at 03:00 PM UTC

EVENT

Extra Help with Setting Up

May 6, 2024 at 08:30 PM UTC

EVENT

Lecture 2: Data Collection

May 7, 2024 at 07:00 PM UTC

EVENT

Lecture 3: Regression I

May 8, 2024 at 07:00 PM UTC

EVENT

Office Hours

May 9, 2024 at 04:00 PM UTC

EVENT

Office Hours

May 10, 2024 at 04:00 PM UTC

EVENT

Office Hours

May 13, 2024 at 04:00 PM UTC

EVENT

Problem Solving Session 6

May 14, 2024 at 03:00 PM UTC

EVENT

Alternate Problem Session 6

May 14, 2024 at 11:00 PM UTC

EVENT

Lecture 7: Time Series II

May 15, 2024 at 07:00 PM UTC

EVENT

Office Hours

May 16, 2024 at 04:00 PM UTC

EVENT

Office Hours

May 17, 2024 at 04:00 PM UTC

EVENT

Lecture 9: Classification II

May 20, 2024 at 07:00 PM UTC

EVENT

Office Hours

May 21, 2024 at 04:00 PM UTC

EVENT

Problem Solving Session 11

May 22, 2024 at 03:00 PM UTC

EVENT

Problem Solving Session 12

May 23, 2024 at 03:00 PM UTC

EVENT

Alternate Problem Session 11

May 23, 2024 at 11:00 PM UTC

EVENT

Office Hours

May 28, 2024 at 04:00 PM UTC

EVENT

Office Hours

May 31, 2024 at 04:00 PM UTC

EVENT

Office Hours

May 6, 2024 at 04:00 PM UTC

EVENT

Problem Solving Session 2

May 7, 2024 at 03:00 PM UTC

EVENT

Problem Solving Session 3

May 8, 2024 at 03:00 PM UTC

EVENT

Alternate Problem Session 3

May 8, 2024 at 11:00 PM UTC

EVENT

Lecture 4: Regression II

May 9, 2024 at 07:00 PM UTC

EVENT

Project Pitch Hour

May 10, 2024 at 08:00 PM UTC

EVENT

Lecture 5: Regression III

May 13, 2024 at 07:00 PM UTC

EVENT

Office Hours

May 14, 2024 at 04:00 PM UTC

EVENT

Problem Solving Session 7

May 15, 2024 at 03:00 PM UTC

EVENT

Alternate Problem Session 7

May 15, 2024 at 11:00 PM UTC

EVENT

Lecture 8: Classification I

May 16, 2024 at 07:00 PM UTC

EVENT

Problem Solving Session 9

May 20, 2024 at 03:00 PM UTC

EVENT

Alternate Problem Session 9

May 20, 2024 at 11:00 PM UTC

EVENT

Lecture 10: Ensemble Learning I

May 21, 2024 at 07:00 PM UTC

EVENT

Office Hours

May 22, 2024 at 04:00 PM UTC

EVENT

Office Hours

May 23, 2024 at 04:00 PM UTC

EVENT

Office Hours

May 24, 2024 at 04:00 PM UTC

EVENT

Office Hours

May 29, 2024 at 04:00 PM UTC

EVENT

Erdős May 2024 Final Project Showcase

Jun 5, 2024 at 04:00 PM UTC

EVENT

Lecture 1: Introduction

May 6, 2024 at 07:00 PM UTC

EVENT

Office Hours

May 7, 2024 at 04:00 PM UTC

EVENT

Office Hours

May 8, 2024 at 04:00 PM UTC

EVENT

Problem Solving Session 4

May 9, 2024 at 03:00 PM UTC

EVENT

Alternate Problem Session 4

May 9, 2024 at 11:00 PM UTC

EVENT

Problem Solving Session 5

May 13, 2024 at 03:00 PM UTC

EVENT

Alternate Problem Session 5

May 13, 2024 at 11:00 PM UTC

EVENT

Lecture 6: Time Series I

May 14, 2024 at 07:00 PM UTC

EVENT

Office Hours

May 15, 2024 at 04:00 PM UTC

EVENT

Problem Solving Session 8

May 16, 2024 at 03:00 PM UTC

EVENT

Alternate Problem Session 8

May 16, 2024 at 11:00 PM UTC

EVENT

Office Hours

May 20, 2024 at 04:00 PM UTC

EVENT

Problem Solving Session 10

May 21, 2024 at 03:00 PM UTC

EVENT

Alternate Problem Session 10

May 21, 2024 at 11:00 PM UTC

EVENT

Lecture 11: Ensemble Learning II

May 22, 2024 at 07:00 PM UTC

EVENT

Lecture 12: Neural Networks

May 23, 2024 at 07:00 PM UTC

EVENT

Office Hours

May 27, 2024 at 04:00 PM UTC

EVENT

Office Hours

May 30, 2024 at 04:00 PM UTC

EVENT

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

Project/Homework Deadlines

May 9, 2024

03:59 AM UTC

Watch 5 Previous Distinguished Projects

Click the "only show projects with distinction or higher" check box, watch five previous projects and explore their githubs.

May 10, 2024

08:00 PM UTC

Project Pitch Hour

Opportunity to meet with other Erdos Fellows and form teams and propose topics.

May 14, 2024

03:59 AM UTC

Submit Team Proposal to Project Formation Page

If you want to propose a project, or have an idea for a project, submit it by this date.

May 15, 2024

03:59 AM UTC

Finalized Teams with Preliminary Project Idea

Teams need to be finalized by this point. If you proposed or created a project, you must have others in your group. If you did not propose or create a project, you must join an open group.

May 17, 2024

02:06 PM UTC

Data gathering and defining stakeholders + KPIs

Find the dataset you will be working with. Describe the dataset and the problem you are looking to solve (1 page max). List the stakeholders of the project and company key performance indicators (KPIs) (bullet points).

May 18, 2024

03:59 AM UTC

Data cleaning + preprocessing

Look for missing values and duplicates. Basic data manipulation & preliminary feature engineering.

May 25, 2024

03:59 AM UTC

Written proposal of modeling approach [Checkpoint]

Test linearity assumptions. Dimensionality reductions (if necessary). Describe your planned modeling approach, based on the exploratory data analysis from the last two weeks (< 1 page, bullet points).

May 25, 2024

03:59 AM UTC

Exploratory data analysis + visualizations [Checkpoint]

Distributions of variables, looking for outliers, etc. Descriptive statistics.

Jun 1, 2024

03:59 AM UTC

Machine learning models or equivalent [Checkpoint]

Results with visualizations and/or metrics. List of successes and pitfalls.

Jun 2, 2024

03:59 AM UTC

Final project due

Please read the submission instructions on the link below.

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