Catalog Description
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.
Instructor Description
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 operational systems. This is a hands-on and highly interactive course. Students will learn analytical data modeling techniques for organizing and querying data. They will learn how to transform data into dimensional models, how to build data products, and how to visualize the data. We will also examine the various roles data engineers can have in an organization and career paths for data professionals
Prerequisites
Upper-division standing; Informatics 310D and Informatics 304 (or one of the following approved substitutions: C S 303E, C S 312, C S 312H, C S 313E).
Course Areas
Human-Centered Data Science