Data Science Boot Camp
Fall 2023
Sep 7, 2023
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Dec 7, 2023
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Registration Deadlines
Oct 1, 2023
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Academics from Member Institutions/Departments
Sep 30, 2023
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Academics from Non-Member Institutions paying the $500 cohort membership fee
Sep 30, 2023
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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.
#slack-channel
Organizers, Instructors, and Advisors
Alec Clott, PhD
Head of Data Science Projects
Office Hours:
Wed. 12-12:30pm EST, and by appt.
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!
Matthew Osborne, PhD
Lead Instructor, Senior Operations Analyst
Office Hours:
By appointment only
Email:
Preferred Contact:
Slack
Don't hesitate to contact me with any questions or concerns.
Steven Gubkin, PhD
Lead Teaching Assistant
Office Hours:
Tu: 11am - 12pm ET
Email:
Preferred Contact:
Slack
Please feel free to message me on Slack with any questions! I will also be running a “math hour” every Wednesday from 11am - 12pm ET which will explore the mathematical underpinnings of the techniques covered in the previous lecture.
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
Aware NLP Project III
Mohammad Nooranidoost, Baian Liu, Craig Franze, Mustafa Anıl Tokmak, Himanshu Raj, Peter Williams
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
Program Content
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Textbook/Notes
Schedule
Click on any date for more details
Lecture 1: Introduction
September 7, 2023 at 9:30:00 PM
EVENT
Office Hours 1
September 12, 2023 at 3:00:00 PM
EVENT
Problem Session 2
September 18, 2023 at 3:00:00 PM
EVENT
Lecture 3: Supervised Learning and Regression I
September 21, 2023 at 9:30:00 PM
EVENT
Math Hour 3
September 27, 2023 at 3:00:00 PM
EVENT
Office Hours 4
October 3, 2023 at 3:00:00 PM
EVENT
Problem Session 5
October 9, 2023 at 3:00:00 PM
EVENT
Lecture 6: Time Series II
October 12, 2023 at 9:30:00 PM
EVENT
Math Hour 6
October 18, 2023 at 3:00:00 PM
EVENT
Office Hours 7
October 24, 2023 at 3:00:00 PM
EVENT
Problem Session 8
October 30, 2023 at 3:00:00 PM
EVENT
Lecture 9: Classification II
November 2, 2023 at 9:30:00 PM
EVENT
Math Hour 9
November 8, 2023 at 4:00:00 PM
EVENT
Lecture 11: Ensemble Learning
November 16, 2023 at 10:30:00 PM
EVENT
Math Hour 11
November 29, 2023 at 4:00:00 PM
EVENT
Problem Session 1
September 11, 2023 at 3:00:00 PM
EVENT
Math Hour 1
September 13, 2023 at 3:00:00 PM
EVENT
Office Hours 2
September 19, 2023 at 3:00:00 PM
EVENT
Problem Session 3
September 25, 2023 at 3:00:00 PM
EVENT
Lecture 4: Regression II
September 28, 2023 at 9:30:00 PM
EVENT
Math Hour 4
October 4, 2023 at 3:00:00 PM
EVENT
Office Hours 5
October 10, 2023 at 3:00:00 PM
EVENT
Problem Session 6
October 16, 2023 at 3:00:00 PM
EVENT
Lecture 7: Time Series II
October 19, 2023 at 9:30:00 PM
EVENT
Math Hour 7
October 25, 2023 at 3:00:00 PM
EVENT
Office Hours 8
October 31, 2023 at 3:00:00 PM
EVENT
Problem Session 9
November 6, 2023 at 4:00:00 PM
EVENT
Lecture 10: Classification III
November 9, 2023 at 10:30:00 PM
EVENT
Problem Session 11
November 27, 2023 at 4:00:00 PM
EVENT
Lecture 12: Neural Networks
November 30, 2023 at 10:30:00 PM
EVENT
Study Group
September 12, 2023 at 3:00:00 PM
EVENT
Lecture 2: Data Collection
September 14, 2023 at 9:30:00 PM
EVENT
Math Hour 2
September 20, 2023 at 3:00:00 PM
EVENT
Office Hours 3
September 26, 2023 at 3:00:00 PM
EVENT
Problem Session 4
October 2, 2023 at 3:00:00 PM
EVENT
Lecture 5: Regression III & Time Series I
October 5, 2023 at 9:30:00 PM
EVENT
Math Hour 5
October 11, 2023 at 3:00:00 PM
EVENT
Office Hours 6
October 17, 2023 at 3:00:00 PM
EVENT
Problem Session 7
October 23, 2023 at 3:00:00 PM
EVENT
Lecture 8: Classification I
October 26, 2023 at 9:30:00 PM
EVENT
Math Hour 8
November 1, 2023 at 3:00:00 PM
EVENT
Office Hours 9
November 7, 2023 at 4:00:00 PM
EVENT
Problem Session 10
November 13, 2023 at 4:00:00 PM
EVENT
Office Hours 11
November 28, 2023 at 4:00:00 PM
EVENT
Project Showcase and Commencement
December 7, 2023 at 4:55:00 PM
EVENT
Please check your registration email for program schedule and zoom links.
Project/Homework Deadlines
Sep 23, 2023
3:59 AM
Watch 3 Previous Top Projects
Consult the project database, and watch at least 3 previous top projects from Erdos Alumni.
Oct 6, 2023
3:59 AM
Watch video about Project Formation
This should help answer any Q's you may have going into project formation
Oct 6, 2023
8:30 PM
Project Pitch Hour
Opportunity to meet with other Erdos Fellows and form teams and propose topics.
Oct 12, 2023
3:59 AM
Submit Team Proposal or Idea to Project Formation Page
If you want to propose a project, or have an idea for a project, submit it by this date.
Oct 14, 2023
3:59 AM
Finalized Teams with Preliminary Project Ideas
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.
Oct 21, 2023
3:59 AM
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).
Oct 28, 2023
3:59 AM
Data cleaning + preprocessing
Look for missing values and duplicates. Basic data manipulation & preliminary feature engineering.
Nov 4, 2023
3:59 AM
Exploratory data analysis + visualizations [Checkpoint]
Distributions of variables, looking for outliers, etc. Descriptive statistics.
Nov 10, 2023
4:59 PM
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).
Nov 16, 2023
4:59 AM
Machine learning models or equivalent [Checkpoint]
Results with visualizations and/or metrics. List of successes and pitfalls.
Dec 2, 2023
4:59 AM
Final project due
Please read the submission instructions on the link below.