Catalog Description
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).
Restrictions
Generally restricted to undergradute Informatics majors through registration period 1 and extended to Informatics minors in period 2. Outside students – including iSchool graduate students – will only be accepted during period 3.
Current and Upcoming Classes for this Course
Past Classes for this Course
| Class Name | Semester | Day(s) | Start Time(s) | End Time(s) | Building | Room |
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| I 320D: Topics in Human-Centered Data Science: Data Engineering | Fall Term 2024 |
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| I 320D: Topics in Human-Centered Data Science: Data Engineering | Fall Term 2023 |
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| I 320D: Topics in Human-Centered Data Science: Data Engineering
James Howison Syllabus |
Fall Term 2022 |
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