Computational Methods for Data Analytics

Course #OA3802

Est.imated Completion Time: 3 months


(Same as CS3802.) This course introduces several tools for analysts to acquire, store, access, clean, and merge relevant data, so as to produce a dataset that can be analyzed with necessary tools. The topics include binary data, popular text formats, bash command interpreter, relational and NoSQL databases, web scraping methods, parallel processing, and geographic data. Students will be introduced to high-performance computation facility, such as NPS Hamming and Grace clusters.

Included in degrees & certificates

  • 268


  • OA2801
Offerings database access
Asset Publisher

Application Deadlines

  •  08 Jan 2024

    Spring Quarter applications due

  •  01 Apr 2024

    Summer Quarter applications due

  •  08 Jul 2024

    Fall Quarter applications due

Asset Publisher

Academic Calendar

  •  08 Dec 2023

    Last day of classes

  •  12 Dec 2023 – 14 Dec 2023

    Fall Quarter final examinations

  •  15 Dec 2023

    Fall Quarter graduation

See NPS Academic Calendar for more dates.