STAT 2870 OL1 (CRN: 61398)
Statistics: Basics of Data Science
3 Credit Hours
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.
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
Note: These dates may change before registration begins.
Note: These dates may not be accurate for select courses during the Summer Session.
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| Last Day to Drop | |
| Last Day to Withdraw with 50% Refund | |
| Last Day to Withdraw with 25% Refund | |
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Resources
Statistics: Statistics for Engineering (online)(STAT 2430 OL1)Quick Course ReviewQuick View
This section is closed
CRN61293Credits3InstructorsKatherine Merrill- DatesDays of the WeekTimes
- to N/ASee Notes
Statistics: Applied Probability (online)(STAT 2510 OL1)Quick Course ReviewQuick View
This section is closed
CRN61294Credits3InstructorsKatherine Merrill- DatesDays of the WeekTimes
- to N/ASee Notes
Statistics: Basic Statistical Methods 2 (online)(STAT 2830 OL1)Quick Course ReviewQuick View
This section is closed
CRN61295Credits3InstructorsKatherine Merrill- DatesDays of the WeekTimes
- to N/ASee Notes
Remind Me Form
STAT 2870 OL1 is closed to new enrollment.
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