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: STAT 187.
Dates: July 3 - August 11, 2023 Cross Listed with STAT 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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|CS 087 OL1||Computer Science: QR: Intro to Data Science||to||N/A||See Notes||3||61585|
|CS 110 OL1||Computer Science: QR: Intermediate Programming||to||N/A||See Notes||4||61282|
|CS 145 OL1||Computer Science: QR:Web Client Programming||to||N/A||See Notes||3||61630|
|CS 166 OL1||Computer Science: QR: Cybersecurity Principles||to||N/A||See Notes||3||61146|
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