I 320D Topics in Human-Centered Data Science : Data Engineering
Principles and practices in data engineering. Emphasis on the data engineering lifecycle and how to build data pipelines to collect, transform, analyze, and visualize data from multiple source systems. We will discuss data modeling techniques for organizing and managing data. We will look at data as an organizational asset and as a product. We will examine the various roles data engineers can have in an organization and career paths for data professionals.
Informatics 304 and 310D.
Restricted to undergraduate Informatics majors through registration period 1. Informatics minors may add classes and join waitlists beginning in period 2. Outside students will be permitted to join our waitlists beginning with period 3.