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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 6300 - Data Understanding
Applications used to understand the problem-solving process for data science. Data collection and cleansing techniques used to visualize and summarize the data in order to prepare it for modeling for various data types through statistical analysis with Python programming.
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