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CS 2870 A (CRN: 12602)

Computer Science: Basics of Data Science

3 Credit Hours

For crosslists see: STAT 2870 A

About CS 2870 A

Basic data science techniques, from import to cleaning to visualizing and modeling, using the R language. Machine learning methods include regression, classification and clustering algorithms. Programming methods include user-defined functions. Prerequisite: STAT 1110, STAT 1410, or STAT 2430. Cross-listed with: STAT 2870.

Notes

Prereqs enforced by the system: STAT 1110 or STAT 1410 or STAT 2430; Cross-listed with STAT 2870 A; Total combined enrollment: 56 Open to Degree and PACE students;

Syllabus Unavailable

Please contact the instructor for information about this course.

Important Dates

Note: These dates may not be accurate for select courses during the Summer Session.

Deadlines
Last Day to Add
Last Day to Drop
Last Day to Withdraw with 50% Refund
Last Day to Withdraw with 25% Refund
Last Day to Withdraw

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