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Data Engineering

A required course in the Data Science Certificate Program.

Course Description

This course is designed to enhance student proficiency in data design, data management, data warehouse, data modeling, and query manipulation skills. Topics include techniques and methods for identification, extraction, and preparation of data for processing with database software. Gain an overview of the basic techniques of data engineering, including data normalization, data engineering, relational and non-relational databases, SQL and NoSQL, manipulation of data at scale (big data), algorithms for data operations. Students will work on a final project to explore, analyze, summarize and present findings in a real-world big data set. Prerequisite: I&C SCI X427.05 Fundamentals of Data Science

Required prerequisites: I&C SCI X427.05 Fundamentals of Data Science.

NOTE: This course may use live sessions via Zoom. While students are highly encouraged to attend, all sessions are optional and will be recorded. A device with audio and visual will be needed to participate. The following student guide provides additional resources/information on how to use and access your courses Zoom sessions.

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  • Details
  • $820
  • Reg#: 00268
  • ID/Units: I&C SCI X427.06  (2.50)
    ( Section 1 )
  • Quarter: SPRING 2022