Course Detail
STAT 2870 OL1 is closed to new enrollment.
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Statistics: Basics of Data Science
STAT 2870 OL1 (CRN: 61547)
3 Credit Hours
to Online (View Campus Map)
For crosslists see: CS 2870 OL1
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.
Instructor
Notes
Cross listed with CS 2870 OL1; Total enrollment = 40; Asynchronous online
Syllabus Unavailable
Please contact the instructor for information about this course.
Class Times
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Location
Online (View Campus Map)
Important Dates
Note: These dates may change before registration begins.
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| Last Day to Drop | |
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| Last Day to Withdraw with 25% Refund | |
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Resources
Other courses you may be interested in…
| Section | Title | Instructors | Dates | Days | Times | Credits | CRN |
|---|---|---|---|---|---|---|---|
| STAT 2430 OL1 | Statistics: Statistics for Engineering |
| to | N/A | See Notes | 3 | 61420 |
| STAT 2510 OL1 | Statistics: Applied Probability |
| to | N/A | See Notes | 3 | 61421 |
| STAT 2830 OL1 | Statistics: Basic Statistical Methods 2 |
| to | N/A | See Notes | 3 | 61422 |
There are no courses that meet this criteria.
