Data Manipulation Techniques (BDAT 1000)
Large, complex, and diverse data sets require manipulation to parse, split, edit and establish correlations between sets. In this course, students examine common methods and tools that can be utilized to efficiently parse, query and display raw data sets. Students learn how to programmatically extract data from a variety of file formats and sources.
Credits:
| Credit Hours | Contact Hours | Lecture Hours | Lab Hours | Other |
|---|---|---|---|---|
3.000 |
42.000 |
|
|
|
[+] Prerequisites:
[+] Corequisites and Concurrent Prerequisite(s):
None
[+] Equivalents:
[-] Restrictions:
Must be enrolled in one of the following Levels:
Post Graduate
Must be enrolled in one of the following Majors:
(BDAT) Big Data Analytics
(AIDI) Artificial Intelligence