ASA DataFest is a data analysis competition where undergraduate students work in teams over 48 hours to analyze a large, complex dataset. Students work around the clock to find insights and present their findings to a panel of judges.
Science | STEM
ASA DataFest
Share this Comp:
Facebook
Twitter
LinkedIn
WhatsApp

Contact Info
- Phone: Currently Unavailable
- Contact: donnal@amstat.org
- Website
- American Statistical Association (ASA)
Follow this Comp on Social
Great For . . .
Helpful Articles
About the competition
Comp Info
- Estimated Ann. Participants: 2000
- Cost: Free
- Estimated Time Commitment: Major
- Participant Format: Small Team
- Event Format: Hybrid
- Competition Format: Simulation/Challenge
- Reach: National
- Event Size: Small
Participation Information
Students participate through their institutions, which host the event. Registration details are typically provided by each host institution.
Open to undergraduate students at participating institutions.
Certificates, recognition, and networking opportunities for team-based statistical analysis
Students participate through their institutions, which host the event. Registration details are typically provided by each host institution.
1. Form a team at your institution. 2. Register through the host institution. 3. Participate in the 48-hour data analysis event. 4. Present findings to judges.
Access to statistical software, programming tools, and a computer with internet access.
Judging is based on the quality of analysis, creativity, and the ability to derive insights from the dataset. Categories include Best in Show, Best Visualization, and Best Use of External Data.
Related Competitions
Engineering | STEM
- Subjects: Computer Science | Data Analysis | Machine Learning
Engineering | STEM
- Subjects: Civic Engagement | Climate Change | Environmental Issues | Life Sciences | Research | Social Science
Engineering | STEM
- Subjects: Computer Science | Engineering | Programming
Engineering | STEM
- Subjects: Climate Change | Data Analysis | Engineering | Geography