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.
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Resources
Computer Science: Intro to Web Site Dev(CS 1080 Z1)Quick Course ReviewQuick View
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CRN61847Credits3InstructorsMurat Gungor- DatesDays of the WeekTimes
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Computer Science: Intro to Data Science (online)(CS 1870 OL1)Quick Course ReviewQuick View
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CRN61805Credits3InstructorsJacob Martin- DatesDays of the WeekTimes
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Computer Science: Intermediate Programming (online)(CS 2100 OL1)Quick Course ReviewQuick View
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CRN61806Credits4InstructorsJackie Horton- DatesDays of the WeekTimes
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Statistics: Intro to Data Science (online)(STAT 1870 OL1)Quick Course ReviewQuick View
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CRN61800Credits3InstructorsJacob Martin- DatesDays of the WeekTimes
- to N/ASee Notes
Statistics: Basics of Data Science (online)(STAT 2870 OL1)Quick Course ReviewQuick View
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CRN61398Credits3InstructorsJacob Martin- DatesDays of the WeekTimes
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