ASA Data Fest at Wake Forest
What is Data Fest?
ASA DataFest is a 3-day statistics and data science competition that takes place in universities across the nation in March - April each year. Wake Forest students have been participating since Spring 2018!
DataFest is open to any undergraduate student with experience in some statistical computing, and experience with regression. If you have STA 112 or STA 212 , you are ready to compete in our level 1 division. My folks with more classes, like STA 362 or STA 363, you will be competing in our level 2 division. We also have a graduate level division for masters students.
In 2023, DataFest will take place in late April or early May. Interested student can sign up here! Please feel free to contact Dr. Dalzell at dalzelnm@wfu.edu if you have any questions about DataFest 2023!
DataFest is open to any undergraduate student with experience in some statistical computing, and experience with regression. If you have STA 112 or STA 212 , you are ready to compete in our level 1 division. My folks with more classes, like STA 362 or STA 363, you will be competing in our level 2 division. We also have a graduate level division for masters students.
In 2023, DataFest will take place in late April or early May. Interested student can sign up here! Please feel free to contact Dr. Dalzell at dalzelnm@wfu.edu if you have any questions about DataFest 2023!
STA 175: Statistics Competitions
Wake Forest students interested in DataFest take a 1 credit pass/fail course called STA 175 in Spring semester. In this course, we meet once a week for practice competitions, short lessons on new coding, models, and techniques, and time to work on these skills with colleagues.
Interested Students should contact Dr. Dalzell at dalzelnm@wfu.edu to learn more about STA 175!
Interested Students should contact Dr. Dalzell at dalzelnm@wfu.edu to learn more about STA 175!
Past Events
2022
Date:
- April 1-3, 2022 at Wake Forest University
- 65 Wake Forest students
- Students analyzed a large data set provided by Play2PREVENT, an organization that designs videos games to help teenagers make wise life decisions. The goal was to provide insight into the change in player choices as the game progressed. Data contained more than 1.5 million rows.
2021 (cancelled due to COVID 19)
2020
Date:
- March 25- 27, 2020: Due to COVID, our event was virtual.
- 75 Wake Forest students
- Students analyzed a large data set from Lyft. The goal was to determine if it were possible to design more efficient routes, or to identify features that were associated with longer route times.
2019
Date:
- April 5-7, 2019 at Duke University
- 40+ Wake Forest students, 400+ students in the entire event from multiple universities
- The data set was provided by the Canadian National Women's Rugby Team. The goal was to identify any patterns or trends that could improve training regimes.
2018
Date:
- March 2018 at Duke University
- 23 Wake Forest students, 400+ students in the entire event from multiple universities
- Students analyzed data from TicketMaster. The goals was to identify patterns that might be useful in advertising shows/events to different groups of individuals.
