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MATH 450 - Predictive Analytics with R |
Data exploration, visualization and predictive modeling using R. Students will work on predictive analytics projects and deliver in both oral and written forms.
Prerequisite: C- or better in MATH 259 and MATH 454 or permission of the department chairperson.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture, Online Fixed Times (Synch), Online (Asynchronous), Study Abroad Mathematical Sciences Department Restrictions: Must be enrolled in one of the following Levels: Undergraduate Graduate Prerequisites: Undergraduate level MATH 259 Minimum Grade of C- and Undergraduate level MATH 454 Minimum Grade of C- |
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