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Join the Datapalooza Conference
Datapalooza is an annual conference hosted by the University of Virginia’s School of Data Science that brings together more than 500 attendees from across higher education, industry, and the greater data science community. This year's theme "Learning In Action," is inspired by the interdisciplinary values of data science with the intention to share knowledge and build community.
First launched in 2017, Datapalooza has evolved from a research exposition to a platform where anyone interested in data science can connect with experts and expand their knowledge and skill sets. Designed for students, faculty, professionals, and friends of data science, Datapalooza aligns with the core values of the School of Data Science—to further discovery, share knowledge, and make a positive impact on society through collaborative, open, and responsible data science research and education.
11 AM - Welcome
11:15AM-12:45 PM - Concurrent Workshop Sessions
Sports Analytics for Fostering Cutting-Edge Data Science and Expanding the Community
Live Broadcasted Session
Understanding COVID-19 Outcomes by County: An End-to-End User Journey in the Cloud
Zoom Room Session
Guess Who?: Introduction to Decision Tree Analysis
In Person Session
1-1:45 PM - Concurrent Workshop Sessions
Using Data to Land Your Data Science Job
Live Broadcasted Session
Zoom Room Session
2-2:45 PM - Concurrent Workshop Sessions
Moving, Managing, and Storing Research Data Openly
Live Broadcasted Session
Human Bias in Machine Learning
Zoom Room Session
3-4:30 PM- Concurrent Workshop Sessions
Broadening Participation of Students of Color in Data Science: Centering Creativity and Community
Live Broadcasted Session
Introduction to Koalas: pandas API on Apache Spark and MLflow
Zoom Room Session
Community-Driven Environmental Sensing: From Data Acquisition to Visualization
In Person Session
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