DS 2002

Data Science Systems

Course Description

This course will center on exposing students to contemporary pipelines for data analysis through a series of steadily escalating use cases. The course will begin with simple local database construction such as SQLite and evolve to cloud base systems such as AWS or Google Cloud. This progression will include topics such as data lakes and other non-SQL applications as appropriate.


  • Jason Williamson

     Rating

    2.33

     Difficulty

    2.00

     GPA

    3.92

     Sections

    2

    Last Taught

    Spring 2025

  • Neal Magee

     Rating

     Difficulty

     GPA

    3.94

     Sections

    2

    Last Taught

    Spring 2025

  • Jon Tupitza

     Rating

    1.00

     Difficulty

    3.00

     GPA

    3.89

     Sections

    2

    Last Taught

    Spring 2025