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

Academic Calendar

  •  06 Jun 2023

    Spring quarter pre-graduation awards ceremony

  •  09 Jun 2023

    Spring quarter last day of classes

  •  13 Jun 2023

    Spring quarter final examinations begin