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I 320D : Topics in Human-Centered Data Science: Data Engineering
Areas
Skills
Topics
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
Informatics 304 and 310D.
Instructor | Topic Title | Year | Semester | Syllabus |
---|---|---|---|---|
Charles (Chip) Young | Data Engineering | 2024 | Fall | |
Charles (Chip) Young | Data Engineering | 2023 | Fall | Syllabus |
James Howison Charles (Chip) Young | Data Engineering | 2022 | Fall | Syllabus |
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