CS 2870 OL1 (CRN: 61807)
Computer Science: Basics of Data Science
3 Credit Hours
For crosslists see: STAT 2870 OL1
About CS 2870 OL1
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, STAT 1410, or STAT 2430; Cross listed with STAT 2870 OL1; Total combined enrollment = 40; Asynchronous online
Syllabus Unavailable
Please contact the instructor for information about this course.
Important Dates
Note: These dates may change before registration begins.
Note: These dates may not be accurate for select courses during the Summer Session.
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| Last Day to Drop | |
| Last Day to Withdraw with 50% Refund | |
| Last Day to Withdraw with 25% Refund | |
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Resources
Computer Science: Intermediate Programming (online)(CS 2100 OL1)Quick Course ReviewQuick View
This section is closed
CRN61806Credits4InstructorsJackie Horton- DatesDays of the WeekTimes
- to N/ASee Notes
Statistics: Basics of Data Science (online)(STAT 2870 OL1)Quick Course ReviewQuick View
This section is closed
CRN61398Credits3InstructorsJacob Martin- DatesDays of the WeekTimes
- to N/ASee Notes
Remind Me Form
CS 2870 OL1 is closed to new enrollment.
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