
Course Detail
Statistics: QR: Basics of Data Science
STAT 187 OL1 (CRN: 61749)
3 Credit Hours
For crosslists see: CS 187 OL1
About STAT 187 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 111 or STAT 141 or STAT 143 or STAT 211. Cross-listed with: CS 187.
Instructor
Notes
Dates: July 3 - August 11, 2023; Cross listed with CS 187 OL1; Total enrollment = 40; Asynchronous online
More Information
Section Description
“This course is part of a pilot program that will be using Brightspace, UVM's new learning platform that's replacing Blackboard. Since only a limited number of courses will be piloting Brightspace this coming semester, you may have courses in Blackboard as well. For more information on Brightspace: go.uvm.edu/brightspace-pilot”
Meetings
to
Location
Online (View Campus Map)
Important Dates
Note: These dates may change before registration begins.
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Resources
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STAT 111 OL1 | Statistics: QR: Elements of Statistics |
| to | N/A | See Notes | 3 | 61552 |
STAT 141 OL1 | Statistics: QR:Basic Statistical Methods 1 |
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STAT 151 OL1 | Statistics: QR: Applied Probability |
| to | N/A | See Notes | 3 | 61558 |
STAT 183 OL1 | Statistics: QR:Basic Statistical Methods 2 |
| to | N/A | See Notes | 3 | 61559 |
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