Course Detail
Computer Science: Basics of Data Science
CS 2870 OL1 (CRN: 61555)
3 Credit Hours—Seats Available!
to Online (View Campus Map)
For crosslists see: STAT 2870 OL1
About CS 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. Prerequisite: STAT 1110, STAT 1410, or STAT 2430. Cross-listed with: STAT 2870.
Instructor
Notes
Cross Listed with STAT 2870 OL1; Total Enrollment: 40; Asynchronous online
Syllabus Unavailable
Please contact the instructor for information about this course.
Class Times
to
Location
Online (View Campus Map)
Important Dates
Courses may be cancelled due to low enrollment. Show your interest by enrolling.
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 1870 OL1 | Computer Science: Intro to Data Science |
| to | N/A | See Notes | 3 | 61437 |
CS 2100 OL1 | Computer Science: Intermediate Programming |
| to | N/A | See Notes | 4 | 61192 |
CS 2450 OL1 | Computer Science: Web Client Programming |
| to | N/A | See Notes | 3 | 61460 |
CS 2660 OL1 | Computer Science: Cybersecurity Principles |
| to | N/A | See Notes | 3 | 61086 |
STAT 1870 OL1 | Statistics: Intro to Data Science |
| to | N/A | See Notes | 3 | 61415 |
There are no courses that meet this criteria.