DATAC101
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DATA C101 - Data Engineering
Subject
DATA
Course Number
C101
Department
Course Level
Undergraduate
Course Title
Data Engineering
Course Description
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.
Minimum Units
4
Maximum Units
4
Repeat Rules
Course is not repeatable for credit.
Grading Basis
Default Letter Grade; P/NP Option
Instructors
Hellerstein, Jain, Parameswaran, Yan
Prerequisites
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.
Credit Restriction Courses
-
Credit Replacement Courses
-
Cross-Listed Course(s)
Term
Fall and Spring
Lecture Hours
3
Mode of Instruction
In Person, Online
Discussion Hours
1
Mode of Instruction
In Person, Online