Carolina Data Challenge Logo

The University of North Carolina at Chapel Hill
September 16-17, 2017


Award Team Members Report Presentation Other Resources
Best Visualization John Benhart
Joseph Boyle
Kyle Coniker
Petit Larceny Report Petit Larceny Visualization
Best Insight Anastasia Egorova
Meghana Subramaniam
Ashley Bleggi
Speed Data-ing Report Speed Data-ing Presentation Insights
Best Use of Outside Data Feilun Wu
Harish Yadav
Kirubanand Chandrasekaran
The Wanderers Report The Wanderers Presentation
Best Beginners Christian Taylor
Joseph Weingold
Bill Hansen
Harvey Data Mining Report Harvey Data Mining Presentation

What is Carolina Data Challenge?

Carolina Data Challenge is a data science oriented hackathon at the University of North Carolina at Chapel Hill. This event is co-hosted by the student organization, Carolina Analytics & Data Science, the UNC Computer Science Department, the Odum Institute, and the National Consortium for Data Science.

Participants will have the opportunitiy to hack on a dataset from either the financial, technology or non-profit sector. At the end of the event, sponsors will present awards based on presentation materials such as visualizations, predictive models, valuable insights, etc.

The event is completely free and meals are included! However, transportation is not available to the event this year, so participants must make their own travel arrangements.

Who can participate?

Any registered students with a valid school ID may participate in the event, though high school students are not allowed. We want this event to be accessible to data scientists of all skill levels! We plan on having sponsors and mentors hold workshops that will provide hands-on experience with data science concepts such as model building and visualization. However, this year, we will not be able to provide transportation so students must make their own travel arrangements.

When and where?

The event will be held on September 16th - 17th, 2017. The location details are below:


Capital One
Carolina Analytics and Data Science
The Institute for Advanced Analytics

National Consortium for Data Science

UNC Computer Science Department
UNC Odum Institute

Interested in becoming a sponsor?

Please see our Sponsorship Guide.

Interested in supporting Carolina Data Challenge in other ways?

We are looking for organizations to support this competition through providing datasets, hosting a workshop with a mentor, and/or sponsoring a prize category which reflects the mission of the organization. If any of these options are interesting to your organization, or you are looking for more information, please contact our Sponsorship Director, Elaine Kearney.


Saturday, September 16, 2017

Time Event Location Guest
8:00am – 10:00am Registration & Breakfast Fred Brooks Lobby
10:00am Welcoming Ceremony Chapman 201 Dr. Steve Bennett
Director, Global Government Pracice
11:00am Team Forming Event Chapman 201

11:30am Introduction to Data Science Chapman 201 Iain Carmichael
Ph.D. Candidate
UNC-CH Statistics Department
12:00pm Lunch Fred Brooks Lobby
1:00pm Information Session SN 014 Valerie Schwartz
Head of Admissions
Institute for Advanced Analytics
1:30pm Introduction to Machine Learning SN 011 Solomon Yeh
Associate Systems Technical Support Engineer
2:00pm SQL 101 – Crash Course FB 009 Shane Coleman
Associate Technical Support Engineer
2:30pm Introduction to Data Visualization with Tableau SN 011 Connor Martinuzzi, Brandon Barber, & Jay Aichelman
CapTech Consulting
3:00pm Introduction to Decision Trees SN 014 Alec Brown
M.S. Candidate in Analytics
Institute for Advanced Analytics
3:30pm Data Driven Journalism FB 009 Professor Ryan Thornburg
Reese News Lab
4:00pm Introduction to Time-Series Analysis SN 011 Nikhil Prasad
M.S. Candidate in Analytics
Institute for Advanced Analytics
4:30pm Mastering the Interview FB 009 Bhavi Patel
Associate Systems Engineer
6:00pm Dinner Fred Brooks Lobby

Sunday, September 17, 2017

Time Event Location Guest
8:00am Breakfast Sitterson Lobby
12:00pm Final Submissions Due Submissions Due Here
12:00pm Lunch Sitterson Lobby
3:00pm Awards & Closing Ceremony Chapman 201