SAVE THE DATE!
DataFest 2020 will take place Friday March 20 - Sunday March 22
Event Sponsors & Partners
Your Sponsorship Makes An Enormous Difference!
By sponsoring Datafest, you are supporting young data scientists and providing them an opportunity to experience data analysis in the wild.
Ways to Sponsor
- Financial Contributor - We appreciate your interest in helping us grow the data science community.
- Judge - Datafest is a competition. Judges evaluate the student presentations on creativity and technical skill, and they determine which teams win fame, glory, PRIZES, and bragging rights.
- Consultant - Share your expertise, interact with and mentor students, brainstorm with
and provide statistical, computational, or application specific guidance. them,
While DataFest is a competition, the main goal of the event is to promote collaboration. See testimonials from past participants:
"As a result of the 2018 DataFest, we started a Technology Student Association where students work on technology problems, enter competitions (such as Emory’s DataFest). The group has grown from the 5 who attended last year to over 30 students" — Jeff Kent; Teacher, Wheeler High School, GA
"Datafest was a great opportunity to experience what real world data analysis entails. By getting the chance to work on a large company dataset, Datafest participants can understand the challenges and rewards of discovering insights from big data. Working in teams in Datafest also promoted a great sense of meaning and collaboration in our analysis work. Datafest was a rewarding experience that provides lots of help along the way so I encourage anyone interested in data analysis to come and participate." — 2015 DataFest @ Emory Participant
WHO can participate?
Any and all Emory undergraduate students with an interest in data analysis can participate. In addition, undergraduates from local colleges and universities which have agreements with
HOW do I register?
- A registration link will be made available in January 2020.
- Participants from Emory must register in teams of 5. One person ("team captain") will register on behalf of everyone on their team. During registration, team captains will need to provide the first name, last name, email address, major(s, and minor if applicable), and 7-digit Emory student ID number of their teammates.
- Students from other selected local colleges and universities with agreements from Emory will register through their University - let us know if you need help finding your representative!
- Selected high school teams must register with their DataFest chaperone.
WHEN and WHERE is this happening?
ASA DataFest @ QTM Emory will take place March 20-22, 2020 in the new Emory Student Center. See the DataFest Itinerary for the specific time and location details.
WHY should I get involved?
- Gain hands-on experience with real-world data!
- Receive meals and snacks each day of the competition
- Compete for fame, glory, and nerd bragging rights
- Network with fellow college students, university faculty, and business representatives
- CASH PRIZES to winning teams in three categories: Best Insight, Best Data Visualization, and Best Use of External Data
|Working with Data in Teams (Git and GitHub)||Jeremy Jacobson||3/3/2020 5:00 pm - 7:30 pm||Student Center N103|
|Getting Started at DataFest (in R)||Zhiyun Gong||3/5/2020 5:00 pm - 6:30 pm||Student Center N103|
|Getting Started at DataFest (in Python)||Jeremy Jacobson||3/5/2020 6:30 pm - 8:00 pm||Student Center N103|
|Data Visualization (with Tableau)||TBA||3/17/2020 4:30pm-6:30pm||Student Center N103|
|Presenting Data Results||Edward Whillies Lee III - Emory Barkley Forum||3/19/2019 4:30pm - 6:30pm||Student Center N103|
DataFest @ Emory Itinerary
March 20 - March 22 2020
Do students have to stay the entire time?
No. You may come and go as you please. However, you are not allowed to work on the project except while you are on DataFest™ grounds, and at least 3 members of your team must attend the introduction on Friday night.
What were past DataFest™ competitions at Emory like?
This is the 5th year
While DataFest™ is a competition, the main goal of the event is to promote collaboration. Sharpen your skills by participating in DataFest!
Anything else I should know about DataFest™?
DataFest™ is a great opportunity to gain experience that employers are looking for. Having worked on a data analysis problem at this scale will certainly help make you a good candidate for any position that involves analysis and critical thinking, and it will provide a concrete example to demonstrate your experience during interviews.
What do I need to compete?
A laptop and familiarity with tools for data analysis (there is no limitation on which software you use) and enthusiasm for data. You may also find it useful to bring scrap paper, a pencil, and/or a graphing calculator.
What are the rules of the competition?
The rules are very simple:
- Teams must be composed of 3-5 undergraduate members. Selected high schoolers will form their own teams and register through their schools.
- Team members can come and go as they please but all work has to be done on-site. A steady supply of food, beverage, and candy make it more inviting to stay. Students have gone full steam into the wee hours of the night/
morning,or just worked business hours. It's up to you!
- The data may not leave the competition site. The data we work with is proprietary to a real, live company.
- It's a competition, but a friendly one, so information sharing between teams is not only allowed but highly encouraged. Official DataFest consultants (grad students, faculty, etc.) will also be around throughout the weekend to help with any questions you might have. However, you may not get help from people who are not involved in DataFest.
When you say prizes, what do you mean?
We're talking about cash prizes for your team!
- A Gift card to each team member for Best Insight, Best Use of External Data, Best Visualization, and Runner-Up.
Please don't hesitate to contact us with any questions. Simply email email@example.com and we will answer your questions as soon as possible.