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Information Select the Course Number to get further detail on the course. Select Schedule Type to find available sections of the course as well as section specific prerequisites. Prerequisites listed in the catalog descriptions are recommended and may not be the same as registration prerequisites in PipelineMT. Use the Look Up Classes link for a grid display of important course information as well as prerequisites and memo notes about the section.

DATA 6310 - Data Exploration
Prerequisite: DATA 6300. Data science techniques to explore numerical and text data. Unsupervised learning and NLP applications used to explore data to understand its impact and use to make data-driven decisions.
3.000 Credit hours

Levels: Graduate
Schedule Types: Combined Lecture/Lab

Basic and Applied Sciences Department

Course Attributes:
College of Basic & Applied


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Release: 8.7.2.4