DataFest 2024
The fifth annual ASA DataFest at the University of Notre Dame hosted 11 teams with 40 student participants. This took place March 22 through March 24, 2023.
For this competition, students were analyzing data provided by CourseKata, a platform that creates and publishes series of e-books for introductory statistics and data science classes. These courses are created using demonstrated learning strategies that help students learn statistics and data science. The data provided a snapshot of the actions, responses and choices of thousands of students as hey engaged in learning the concepts and skills of statistics and coding in R, while taking a real statistic class. This provided a much different perspective that what is traditionally done for statistics educators, as they typically have to rely on 1 hour interviews, or post course test scores to determine success of teaching techniques.
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One really cool aspect of this data was that most (if not all) of the students had taken an introductory statistics course prior to the event. This meant that unlike other years, they were all able to provide some sort of content expertise to their analysis that is so important to the data science process.
Volunteers
A very big thank you to all people that helped make DataFest 2024 at Notre Dame successful! Our mentors and judges included
Associate Teaching Professor in ACMS, The University of Notre Dame
Assistant Teaching Professor and Actuarial Science Director, The University of Notre Dame​
Prospect Management Consultant, The University of Notre Dame​
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Assistant Director for Data, University Stewardship Initatives, The University of Notre Dame
Director of Business Process Management, Robert Bosch LLC​
Senior Director of Decision Support, Children's Mercy Hospital
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PhD candidate in ACMS, The University of Notre Dame​
Assistant Teaching Professor in ACMS,
The University of Notre Dame
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PhD student in ACMS, The University of Notre Dame
PhD Candidate in ACMS, The University of Notre Dame​
Senior Security Analytics Engineer, FanDuel​
Data Scientist,​ AT&T
Associate Actuary,
WTW
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Senior Machine Learning Engineer, Nasuni​
The support staff that helped make all of the logistics possible