Symposium for Health Equity Research in Southeastern North Carolina
The Symposium for Health Equity Research in Southeastern North Carolina (SE NC) will bring together health equity leaders, academics, and community members interested in conducting research in SE NC. Participants will leave with the ability to understand key findings of health equity research relevant to SE NC and identify potential collaborators for future research to address health disparities in the region.
View the agenda, learn about educational credits, and register. Registration is free. Please register by February 28 at noon.
The Research Advisory Council is offering funds to cover travel costs for faculty and their trainees at the UNC School of Medicine who have a specific research goal that would be elevated by attending this symposium. For details, see the information under Health Equity Research Presentation Travel Fund here: Research Advisory Council Awards.
The data explosion we are experiencing in every aspect of our lives from social media to smart cars to internet of things requires a deeper look at data analytics. Data analytics is the application of tools and techniques for analyzing raw data to find patterns, develop models and mine actionable insights. Today performing data analysis is both a science and an art. Even though data analytics is highly automated as processes and algorithms, using them appropriately, and making sense of the results is still an art and experience.
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. In this course 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 as part of the exercises.