Info 258
Data Engineering
4 units
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.
Prerequisites
INFO 206B or equivalent college-level course in computer science in Python with a C- or better AND COMPSCI C100/DATA C100/STAT C100 or COMPSCI 189 or INFO 251 or DATA 144 or equivalent college-level course in data science with a C- or better.
Requirements Satisfied
MIMS: Technology Requirement
Ph.D. Major/Minor Areas — Information Organization and Retrieval
Ph.D. Major/Minor Areas — Information Systems Design
Signing Up for I School Classes
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