Data Science Boot Camp
Spring 2023
May 9, 2023
-
Jun 8, 2023
I'm a paragraph. Click here to add your own text and edit me. It's easy.
Checking your registration status...
To access the program content, you must first create an account and member profile and be logged in.
You are registered for this program.
Matt Osborne Office Hour
Next Event
NEXT EVENT
Registration Deadlines
Mar 16, 2023
-
Academics from Member Institutions/Departments
Mar 16, 2023
-
Academics from Non-Member Institutions paying the $500 membership fee
Jan 16, 2023
-
Academics from Non-Member Institutions applying for Corporate Sponsored Fellowships
Category
Launch
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 twice per year in two different formats: a 1-month long intensive boot camp each May and a semester long version each Fall.
Click here to be invited to the slack organization: The Erdős Institute
Click here to access the slack cohort channel: #slack-cohort-channel
Click here to access the slack program channel: #slack-program-channel
Click here to download the Events & Deadlines .ics calendar file
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.
Those who successfully complete a team project will receive a digital certificate of completion with a sharable URL.
Project Examples
TEAM 16
Predicting Lead Contamination in NY School Drinking Water
Ranadeep Roy,Cami Goray,Hana Lang
Lead is a toxic metal, and in children especially, lead exposure can have severe health consequences -- even small amounts of lead have the potential to affect memory, behavior, and learning ability. Despite this, numerous schools across New York State have at least one drinking water outlet with lead levels testing for above 5 ppb. In this project, we aim to predict the presence of lead contamination in school drinking water, and better understand the role of demographic, socioeconomic, infrastructural, and geographic features in elevated lead levels.
TEAM 33
Tuning Up Music Highway
James O'Quinn, Yang Mo, john hurtado cadavid, Ruixuan Ding, Chilambwe Natasha Wapamenshi
Known as the most dangerous highway in Tennessee, Music Highway, the stretch of Interstate 40 between Memphis and Nashville, could use a serious tuning up. This project investigates the effectiveness and cost-efficiency of potential physical safety interventions along its Madison and Henderson County segments, with the goal of reducing crash severity. We used a data-driven geospatial modeling approach to assess whether adding specific safety features to targeted segments predicts statistically significant changes in crash injury outcomes.
First Steps/Prerequisites
Program Content
I'm a paragraph. Click here to add your own text and edit me. It's easy.
Course materials are available on github through the following link:
github message for user
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
I'm a paragraph. Click here to add your own text and edit me. It's easy.
Schedule
Click on any date for more details
Orientation & Setup
Phase 1: Instruction and Project Completion
Project Review & Judging
Phase 2: Intense Interview Prep & Career Connections
Matt Osborne Office Hour
May 3, 2023 at 08:00 PM UTC
EVENT
Data Science Boot Camp AM Problem Session 1
May 9, 2023 at 02:00 PM UTC
EVENT
Data Science Boot Camp AM Problem Session 2
May 10, 2023 at 02:00 PM UTC
EVENT
Data Science Boot Camp AM Problem Session 3
May 11, 2023 at 02:00 PM UTC
EVENT
Matt Office Hour
May 12, 2023 at 03:00 PM UTC
EVENT
Data Science Boot Camp AM Problem Session 4
May 15, 2023 at 02:00 PM UTC
EVENT
Data Science Boot Camp AM Problem Session 5
May 16, 2023 at 02:00 PM UTC
EVENT
Data Science Boot Camp AM Problem Session 6
May 17, 2023 at 02:00 PM UTC
EVENT
Data Science Boot Camp AM Problem Session 7
May 18, 2023 at 02:00 PM UTC
EVENT
Matt Office Hour
May 19, 2023 at 03:00 PM UTC
EVENT
Data Science Boot Camp PM Problem Session 8
May 22, 2023 at 08:00 PM UTC
EVENT
Data Science Boot Camp PM Problem Session 9
May 23, 2023 at 08:00 PM UTC
EVENT
Data Science Boot Camp PM Problem Session 10
May 24, 2023 at 08:00 PM UTC
EVENT
Data Science Boot Camp PM Problem Session 11
May 25, 2023 at 08:00 PM UTC
EVENT
Matt Office Hour
May 26, 2023 at 07:00 PM UTC
EVENT
Matt Office Hour
May 31, 2023 at 06:00 PM UTC
EVENT
Erdős Final Project Showcase and Commencement
Jun 7, 2023 at 04:00 PM UTC
EVENT
Matt Osborne Office Hour
May 5, 2023 at 03:00 PM UTC
EVENT
Data Science Boot Camp PM Problem Session 1
May 9, 2023 at 08:00 PM UTC
EVENT
Data Science Boot Camp PM Problem Session 2
May 10, 2023 at 08:00 PM UTC
EVENT
Data Science Boot Camp PM Problem Session 3
May 11, 2023 at 08:00 PM UTC
EVENT
Matt Office Hour
May 12, 2023 at 07:00 PM UTC
EVENT
Data Science Boot Camp PM Problem Session 4
May 15, 2023 at 08:00 PM UTC
EVENT
Data Science Boot Camp PM Problem Session 5
May 16, 2023 at 08:00 PM UTC
EVENT
Data Science Boot Camp PM Problem Session 6
May 17, 2023 at 08:00 PM UTC
EVENT
Data Science Boot Camp PM Problem Session 7
May 18, 2023 at 08:00 PM UTC
EVENT
Matt Office Hour
May 19, 2023 at 07:00 PM UTC
EVENT
Data Science Boot Camp Lecture 9
May 22, 2023 at 09:30 PM UTC
EVENT
Data Science Boot Camp Lecture 10
May 23, 2023 at 09:30 PM UTC
EVENT
Data Science Boot Camp Lecture 11
May 24, 2023 at 09:30 PM UTC
EVENT
Data Science Boot Camp Lecture 12
May 25, 2023 at 09:30 PM UTC
EVENT
Matt Office Hour
May 29, 2023 at 08:00 PM UTC
EVENT
Matt Office Hour
Jun 1, 2023 at 02:00 PM UTC
EVENT
Data Science Boot Camp Lecture 1
May 8, 2023 at 09:30 PM UTC
EVENT
Data Science Boot Camp Lecture 2
May 9, 2023 at 09:30 PM UTC
EVENT
Data Science Boot Camp Lecture 3
May 10, 2023 at 09:30 PM UTC
EVENT
Data Science Boot Camp Lecture 4
May 11, 2023 at 09:30 PM UTC
EVENT
Project Pitch Day (Live on Zoom)
May 12, 2023 at 08:30 PM UTC
EVENT
Data Science Boot Camp Lecture 5
May 15, 2023 at 09:30 PM UTC
EVENT
Data Science Boot Camp Lecture 6
May 16, 2023 at 09:30 PM UTC
EVENT
Data Science Boot Camp Lecture 7
May 17, 2023 at 09:30 PM UTC
EVENT
Data Science Boot Camp Lecture 8
May 18, 2023 at 09:30 PM UTC
EVENT
Data Science Boot Camp AM Problem Session 8
May 22, 2023 at 02:00 PM UTC
EVENT
Data Science Boot Camp AM Problem Session 9
May 23, 2023 at 02:00 PM UTC
EVENT
Data Science Boot Camp AM Problem Session 10
May 24, 2023 at 02:00 PM UTC
EVENT
Data Science Boot Camp AM Problem Session 11
May 25, 2023 at 02:00 PM UTC
EVENT
Matt Office Hour
May 26, 2023 at 03:00 PM UTC
EVENT
Matt Office Hour
May 31, 2023 at 02:00 PM UTC
EVENT
Matt Office Hour
Jun 1, 2023 at 08:00 PM UTC
EVENT
Project/Homework Deadlines
May 12, 2023
08:30 PM UTC
Project Pitch Day (Live on Zoom)
Opportunity to meet with other Erdos Fellows and form teams and propose topics.
May 13, 2023
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, 2023
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 20, 2023
03:59 AM 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 20, 2023
03:59 AM UTC
Data cleaning + preprocessing
Look for missing values and duplicates. Basic data manipulation & preliminary feature engineering.
May 27, 2023
03:59 AM UTC
Exploratory data analysis + visualizations [Checkpoint]
Distributions of variables, looking for outliers, etc. Descriptive statistics.
May 27, 2023
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).
Jun 2, 2023
03:59 AM UTC
Machine learning models or equivalent [Checkpoint]
Results with visualizations and/or metrics. List of successes and pitfalls.
Jun 3, 2023
04:00 PM UTC
Final project due
Please read the submission instructions on the link below.