Presented By: Michigan Institute for Data and AI in Society
Undergraduate Data Science Workshop
Registration for this workshop is now closed.
Learn Python in a one-day workshop led by two UM professors--a cosmologist and a statistician--both specializing in data science. This workshop will provide you with the skills to conduct a complete data science workflow, including I/O, data wrangling, visualization, and interpretation.
For more information, please visit the event webpage at https://midas.umich.edu/undergrad-ds-workshop/
Cost: $50 (payable by shortcode or credit card, refundable upon successful completion of workshop)
Organizers:
Prof. Camille Avestruz is a computational cosmologist leading the ALCCA (Avestruz Lab for Computational Cosmology and Astrophysics) research group. Her research group uses simulations to model, predict, and interpret observed large-scale cosmic structures. Her primary focus is to understand the evolution of galaxy clusters.
Prof. Jeffrey Regier received a PhD in statistics from UC Berkeley (2016) and joined Department of Statistics at the University of Michigan as an assistant professor in 2019. His research interests include Bayesian inference, high-performance computing, deep learning, astronomy, and genomics.
Learn Python in a one-day workshop led by two UM professors--a cosmologist and a statistician--both specializing in data science. This workshop will provide you with the skills to conduct a complete data science workflow, including I/O, data wrangling, visualization, and interpretation.
For more information, please visit the event webpage at https://midas.umich.edu/undergrad-ds-workshop/
Cost: $50 (payable by shortcode or credit card, refundable upon successful completion of workshop)
Organizers:
Prof. Camille Avestruz is a computational cosmologist leading the ALCCA (Avestruz Lab for Computational Cosmology and Astrophysics) research group. Her research group uses simulations to model, predict, and interpret observed large-scale cosmic structures. Her primary focus is to understand the evolution of galaxy clusters.
Prof. Jeffrey Regier received a PhD in statistics from UC Berkeley (2016) and joined Department of Statistics at the University of Michigan as an assistant professor in 2019. His research interests include Bayesian inference, high-performance computing, deep learning, astronomy, and genomics.
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