Course Detail
Statistics: Basics of Data Science
STAT 2870 OL1 (CRN: 61547)
3 Credit Hours—Seats Available!
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For crosslists see: CS 2870 OL1
About STAT 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. Prerequisites: STAT 1110, STAT 1410, STAT 2430, or STAT 3210. Cross-listed with: CS 2870.
Instructor
Notes
Cross listed with CS 2870 OL1; Total enrollment = 40; Asynchronous online
Syllabus Unavailable
Please contact the instructor for information about this course.
Class Times
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Location
Online (View Campus Map)
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Resources
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| CS 1870 OL1 | Computer Science: Intro to Data Science |
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| STAT 1870 OL1 | Statistics: Intro to Data Science |
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| STAT 2430 OL1 | Statistics: Statistics for Engineering |
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| STAT 2830 OL1 | Statistics: Basic Statistical Methods 2 |
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