
Course Detail
Computer Science: QR:Basics of Data Science
CS 187 OL1 (CRN: 61760)
3 Credit Hours
For crosslists see: STAT 187 OL1
About CS 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: STAT 187.
Instructor
Notes
Dates: July 3 - August 11, 2023 Cross Listed with STAT 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.
Last Day to Add | |
---|---|
Last Day to Drop | |
Last Day to Withdraw with 50% Refund | |
Last Day to Withdraw with 25% Refund | |
Last Day to Withdraw |
Resources
Other courses you may be interested in…
Section | Title | Instructors | Dates | Days | Times | Credits | CRN |
---|---|---|---|---|---|---|---|
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 |
There are no courses that meet this criteria.