CS 2870 A (CRN: 92692)

Computer Science: Basics of Data Science (A)

3 credit hours

For crosslists see:

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: 40; Open to Degree and PACE students

Syllabus Unavailable

Please contact the instructor for information about this course.

Important Dates

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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