CS 2870 OL1 (CRN: 61555)
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
Cross Listed with STAT 2870 OL1; Total 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 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
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CRN61192Credits4InstructorsJackie Horton- DatesDays of the WeekTimes
- to N/ASee Notes
Computer Science: Web Client Programming (online)(CS 2450 OL1)Quick Course ReviewQuick View
This section is closed
CRN61460Credits3InstructorsBob Erickson- DatesDays of the WeekTimes
- to N/ASee Notes
Computer Science: Cybersecurity Principles (online)(CS 2660 OL1)Quick Course ReviewQuick View
This section is closed
CRN61086Credits3InstructorsJames Eddy- DatesDays of the WeekTimes
- to N/ASee Notes
Interest Form
CS 2870 OL1 is closed to new enrollment.
But we can remind you a few days before the next term opens. You can also see what terms are enrolling currently.