CS3802 Computational Methods for Data Analytics

(Same as OA3802.) 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.

Prerequisite

OA2801 or Consent of Instructor

Lecture Hours

4

Lab Hours

0

Quarter Offered

  • Fall
  • As Required