We are pleased to inform you that the registration for the 2017 Data Analytics Competition is open (as of March 20th, 2017).
What is the data about?
National parks! More information will be released as we approach the competition date.
Who may participate?
The competition is open to all students at the University of Minnesota-Twin Cities. Students will compete in a team of 2 or 3.We have two divisions: the undergraduate division and the graduate division.
What happens on the day of the competition?
Check-in starts at 8:30 am. The following events will take place between 9 am – 4 pm.
Opening ceremony: where you will meet the data and receive instructions. Each team will have their own classroom.
Work on the data: visualization, modeling, prediction, or anything else!
Present to judges: our judging panels consist of U of M professors and industry data experts.
Closing ceremony: All teams will be recognized for their work and receive feedback from the judges. The top teams will receive cash prizes.
Where is the competition?
Opening and closing ceremony will be held at Carlson School of Management. During the competition, each team will be assigned a classroom in either Carlson or the Hanson Hall as their “war room”.
How do I register?
Each team only need to complete one registration form. If you don’t have a team, you may register as solo-participant and we will match you up! If your team has undergraduate AND graduate students, you will be competing in the graduate division.
Is there a registration fee?
No. Registration is free.
What about lunch?
Both breakfast and lunch will be provided. Our lunch sponsors are Raising Canes and Chipotle.
We are grateful for the financial support from the Institute for Research in Statistics and its Applications.
New: 2017 Data Analytics Competition !
We are glad to announce the 2017 Data Analytics Competition, jointly hosted by STATCOM, UMN StatClub, and Social Data Science. This one-day competition will take place on April 15th, 2017 with two divisions: one for undergraduate students and the other for graduate students.
We invite you to form teams of two or three, and get hands-on experience with data from the real world. You will get feedback from judges who are data experts in academia and industry, and top teams from each division will be recognized at our awards ceremony!