DS 6001

Data Engineering I: Data Pipeline Architecture

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Course Description

Covers the practice of data science, including communication, exploratory data analysis, and visualization. Also covered are the selection of algorithms to suit the problem to be solved, user needs, and data. Case studies will explore the impact of data science across different domains.


  • Rafael Alvarado

     Rating

     Difficulty

     GPA

    3.80

     Sections

    Last Taught

    Fall 2018

  • Donald Brown

     Rating

     Difficulty

     GPA

    3.85

     Sections

    Last Taught

    Fall 2017

  • Jonathan Kropko

     Rating

     Difficulty

     GPA

    3.88

     Sections

    1

    Last Taught

    Spring 2026

  • Don Brown

     Rating

     Difficulty

     GPA

     Sections

    Last Taught

    Fall 2018

  • Rasoul Sali

     Rating

     Difficulty

     GPA

     Sections

    Last Taught

    Fall 2018