Schedule for April 20th, 2024
7:30 am - 8:30 am: Registration/Check-in
8:30 am - 9:00 am: Judging Overview for Datagon (Room H195)
9:00 am - 9:30 am: Datagon Introduction (Auditorium)
9:15 am - 11:55 am: Datagon debate Round 1 & 2 (Auditorium)
10:55 am - 11:00 am: Break
11:00 am - 11:30 am: Datagon debate Round 3 (Auditorium)
11:30 am - 12:30 pm: Lunch (Cafeteria) & Datathon Judging Overview (H195/193)
12:30 pm - 3:00 pm: Datathon Competition (Advanced - Room H195/193 & Novice - Room H225)
3:00 pm - 3:15 pm: Break
3:15 pm - 3:30 pm: Awards and Closing (Auditorium)
Minnesota Data Derby Competition
A valuable learning experience for students interested in data, math, or analytics.
The Data Derby competition provides students with valuable hands-on learning experiences, helps organizations solve real-world problems, and contributes to advancing data science techniques. Join as a team to compete to solve specific data-related problems using data analytic techniques and analysis.
2024 Competition Details
Theme: Education Costs
Date: Saturday, April 20th, 2024
Time: 8 am to 4 pm
Datagon Competition
Datagon is a one-day competition on April 20th. This year, the competition will be in the form of a debate.
Team must be 2 to 4 participants
Each team member needs to register themselves
More information - Datagon Competition
Datathon Competition
This is a four to five-week competition where students analyze data and find solutions to questions. Teams will present their analysis on April 20th.
Team must be 2 to 4 participants
Each team member needs to register themselves
More information and this year’s data questions and datasets - Datathon Competition
Who can compete?
Any student with a passion for being a data detective. Students who want to pursue a career using data but are unsure if it is right for them.
Open to all students who are the following:
Minnesota high-school
undergraduate
graduate
Students who have the following degrees:
information technology
computer science
management information systems
business/management
mathematics
all degrees that use data analytics
What skills are necessary?
You can address data challenges in any way you know how. Programming or SQL knowledge is helpful but optional to win. Any openly available tool or application is allowed, including:
Spreadsheets
Statistical Packages
Common Programming Languages (such as Java, Python, and SQL)
Visualization tools (such as Tableau and SAP) packages
Common Office Productivity Tools (such as Microsoft Office Suite)
How does the competition work?
Competitions start with the release of a real world societal problem. This problem needs to be solved using the the information within the dataset(s) provided for analysis, and the evaluation criteria for the solutions.
After four weeks, participants submit their solutions to judges through a presentation.
Gain valuable hands-on learning experiences, help organizations solve real-world problems, and contribute to the advancement of machine learning and data science techniques, all while networking and enhancing your resume.
Interested in Volunteering to be a Judge?
Educators and data science and analytics professionals are invited to serve as judges. Volunteer by emailing Boern Vang at boern.vang@metrostate.edu Network, learn from others, and win prizes! Enhance your resume and reputation in the data science community.
