Introduction to Data Analytics

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.