× This year's Datathon will be hosted in a hybrid format. We are committed to maintaining a healthy atmosphere for all attendees, and we will be following the advised COVID-19 protocols.

About

Duke's annual datathon. Attack a dataset and come up with an analysis and visualization while racing against the clock. Top teams will win prizes, and all students will have the opportunity to interact with industry and academic sponsors.

300+ students 24 hours $2000+ in prizes 5 workshops 30+ mentors


7 of Glassdoor's top 10 jobs are related to statistics or computer science.



46% of 2018's registrants were underrepresented minorities in STEM.



Data scientist roles have some of the highest job satisfaction ratings of any job.

Schedule

Saturday, November 6, 2021

9:30am

10:30am

10:30-11:30am

12:30pm

12:30-1:30pm

1:30-2:30pm

3-4pm

4-5pm

6pm

7-8pm

8-9pm

Check-in

Datasets Released

Workshop: EDA in Python and R

Lunch

Games in the lawn

Workshop: Autonomous Driving

Workshop: Getting ML Opportunities

Workshop: Reinforcement Learning

Dinner

Women & Non-binary Participant Mixer

Trivia Night

Old Chem Lobby

Slack

Reuben 130 / Zoom (972 1317 3616)

Old Chem Quad

Old Chem Quad

Zoom (997 9229 5536)

Old Chem 116/Zoom (985 9642 7585)

Old Chem 116/Zoom (966 7194 7349)

Old Chem Quad

Co-Lab Conference Room 132

Co-Lab Conference Room 132

Workshops

Exploratory Data Analysis

November 6, 2021 10:30-11:30am

Reuben 130 - Duke ML

Autonomous Driving

November 6, 2021 1:30-2:30pm

Zoom - Shrey Gupta (Applied Intuition)

How to get ML opportunities as an undergrad

November 6, 2021 3-4pm

Old Chem 116 - Adithya Vellal

Reinforcement Learning

November 6, 2021 4-5pm

Old Chem 116 - Jack Farley (DAML)

Frequently Asked Questions

Who can participate?

Any undergraduate or graduate student (from any institution) can participate, including any major! Even if you're not a student, if you have a passion for data science and are interested in coming, we'd love to have you sign up to be a mentor or lead a workshop!

What do I work on?

We'll provide a problem statement; after that, it's up to you! Be as creative as you want with the data to tackle a problem of your choosing, and use any programming languages, development stacks, APIs, and other tools you'd need.

What if I don’t know how to code?

Don't worry! We'll have mentors and workshops available to help you for the entire duration of the event.

How much does it cost to attend?

Short answer: nil. Long answer: $0.00. Yup! We'll provide you with the resources, tools, mentors, and workshops, all for free.

What should I bring to the datathon?

We'll provide the question, but you should bring:
     A laptop + charger
     A cellphone
     A student ID
     A water bottle

Can I work with a team?

Yes! In fact, we encourage it! The maximum number of people on a team is four. However, if you would like to go solo or work with fewer people, that works as well. If you don't have a team yet, don't worry. We'll have a team building session right before the event starts.

Who's organizing the datathon?

The executive board of Duke Undergraduate Machine Learning. Check us out here.

I still have more questions!

If you have any questions that we have not addressed, don't hesitate to contact us at hello@dukeml.org. If you're interested in sponsoring Duke Datathon, please contact us!

Sponsors



If you're interested in sponsoring Duke Datathon, please contact us!

See our organization sponsors here.