Spring 2025

DATA C101 999 - DIS 999

Formerly DATA C101

Data Engineering

Class #:33092

Units: 4

Instruction Mode: In-Person Instruction

Offered through Data Science Undergraduate Studies

Current Enrollment

Total Open Seats: 0

Enrolled: 240

Waitlisted: 0

Capacity: 240

Waitlist Max: 0

No Reserved Seats

Hours & Workload

1 hours of the exchange of opinions or questions on course material per week, 3 hours of instructor presentation of course materials per week, and 8 hours of outside work hours per week.

This course will cover the principles and practices of managing data at scale, with a focus on use cases in data analysis and machine learning. We will cover the entire life cycle of data management and science, ranging from data preparation to exploration, visualization and analysis, to machine learning and collaboration, with a focus on ensuring reliable, scalable operationalization.

Rules & Requirements

Requisites

COMPSCI 61B or INFO 206B or equivalent courses in programming with a C- or better, or Pass; AND COMPSCI C100/DATA C100/STAT C100 or COMPSCI 189 or INFO 251 or DATA 144 or equivalent upper-division course in data science with a C- or better, or Pass.
Undergraduate Data Science Majors