STAT 2870 OL1 (CRN: 61398)
Statistics: Basics of Data Science (OL1)
3 credit hours
For crosslists see:
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.
Notes
Prereqs enforced by the system: STAT 1110, STAT 1410, STAT 2430, or STAT 3210; Crosslisted with CS 2870 OL1; Total combined enrollment = 40; Asynchronous online
Syllabus Unavailable
Please contact the instructor for information about this course.
Important Dates
| 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 |