What does data science in education look like?

This chapter describes the roles, skills, workflow, and activities of a data scientist in education. It describes the many tasks involved. This chapter explains how data scientists can apply data science methods to identify and solve problems related to education. It outlines the workflow of the data analysis, reporting process, and technical and statistical skills required. This chapter also walks through the interpersonal aspects of being a data scientist in education, such as communicating with non-technical stakeholders and being aware of an organization’s data culture. It also explains the role of statistics and modeling in measuring impact for students. Finally, the chapter ends by walking through the coauthors’ respective data scientist roles.