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ESS 6520 - Env Informatics Phython Apps
Prerequisite: ESS 6510. Programming GIS, or consent from instructor. Data analysis pre-processing, visualization, classification, and statistical functions from Python packages and machine learning algorithms applied to environmental data. Students will gain professional experience working with real-world environmental data.
3.000 Credit hours
3.000 Lecture hours

Levels: Doctoral, Specialist in Education, Graduate, Undergraduate
Schedule Types: Lecture

Environmental Studies Department

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

Prerequisites:
Prereq for ESS 6520

General Requirements:
Course or Test: ESS 6510
Minimum Grade of D
May not be taken concurrently. )


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