This document summarizes research on analyzing data from MOOCs. It discusses: 1. Clustering analysis identified three clusters of MOOC participants based on similar profiles and answers. One cluster may be a target for increasing participation. 2. Social network analysis was also used, identifying clusters based on relationships between similar participant profiles. 3. Extended profiles of participants were created looking at motivations, prior MOOC satisfaction, and other attributes to better understand participant backgrounds. 4. Preliminary findings identified groups of participants that may be targets for increasing retention and completion rates in future MOOCs based on their profiles.