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Introduction to Data Analytics
March 4 @ 5:00 pm - 7:00 pm
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This course is focused on an introduction to data analytics followed by hands-on exercises. It is tailored for beginners and researchers who want to learn how to perform data analytics in a visual programming environment. We will specifically concentrate on one aspect of data analytics called supervised predictive learning. Two types of predictive learning will be explored – decision trees and regression. We will use some open-source tools and build data analytics pipelines.
Contact Jill Stevens with questions.