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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

Restrictions:
Must be enrolled in one of the following Levels:     
      Graduate

Prerequisites:
for DATA 6310

General Requirements:
Course or Test: DATA 6300
Minimum Grade of C
May not be taken concurrently. )


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Release: 8.7.2.4