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.
Dates: July 3 - August 11, 2023; Cross listed with CS 187 OL1; Total enrollment = 40; Asynchronous online
“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”
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Note: These dates may change before registration begins.
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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||to||N/A||See Notes||3||61554|
|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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