|Award||Team Members||Report||Presentation||Other Resources|
|Best Visualization||John Benhart
|Petit Larceny Report||Petit Larceny Visualization|
|Best Insight||Anastasia Egorova
|Speed Data-ing Report||Speed Data-ing Presentation||Insights|
|Best Use of Outside Data||Feilun Wu
|The Wanderers Report||The Wanderers Presentation|
|Best Beginners||Christian Taylor
|Harvey Data Mining Report||Harvey Data Mining Presentation|
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.
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 dataset cleaning, model building and visualization.
The event will be held on September 29th - 30th, 2018. The location details are below:
Please see our Sponsorship Guide.
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 Co-Director, Kunal Lodaya.
|8:00am – 10:00am||Registration & Breakfast||Fred Brooks Lobby|
|10:00am||Welcoming Ceremony||Chapman 201|
|11:00am||Team Forming Event||Chapman 201|
|12:00pm||Lunch||Fred Brooks Lobby|
|1:00pm||Information Session||SN 014||Ernst and Young|
|1:30pm||Bioinformatics in R||SN 011||Peter Cheng|
|2:00pm||Data Stories||FB 009||Professor Ryan Thornburg
Reese News Lab
|2:30pm||Introduction to Machine Learning||SN 011||Alex Kan and Svetak Sundhar|
|3:00pm||TEAM MEMBERS DUE HERE|
|3:00pm||Data Visualization||SN 011||Captech Consulting|
|3:30pm||Web Scraping||FB 007||Ishan Shah|
|4:00pm||Post-Grad in Data Science: Graduate School vs Industry||SN 011||Elaine Kearney
|5:00pm||Information Session||SN 011||Valerie Schwartz
Head of Admissions
Institute for Advanced Analytics
|7:00pm||Dinner||Fred Brooks Lobby|
Sunday, September 30, 2018
|11:00pm||Final Submissions Due||Submissions Due Here|
|1:00pm||Presentations to Judges||Sitterson and Fred Brooks|
|3:00pm||Awards & Closing Ceremony||Chapman 201|