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| DATA 6300 - Data Understanding |
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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, Undergraduate Schedule Types: Combined Lecture/Lab Basic and Applied Sciences Department Course Attributes: College of Basic & Applied, Credit from 4-Year College, Upper-Division Work Restrictions: Must be enrolled in one of the following Levels: Graduate |
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