Networks appear in lots of places in today's world. From social media to organizational charts to transportation, they can be visualized and analyzed using R. This track shows you how.
This track will be archived on February 27, 2025. To continue making progress after this date, you may enroll in the individual courses.
Overview
Syllabus
- Network Analysis in R
- Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.
- Predictive Analytics using Networked Data in R
- Learn to predict labels of nodes in networks using network learning and by extracting descriptive features from the network
- Case Studies: Network Analysis in R
- Apply fundamental concepts in network analysis to large real-world datasets in 4 different case studies.
Taught by
JAMES CURLEY, Ted Hart, Bart Baesens, and Maria Oskarsdottir
