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STAT 252 - Statistics Programming
Summer 2020, Section 01

search actionsID #Subj#SecTitleDatesDaysTimeCrdsStatusInstructorDelivery MethodLoc
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000183 STAT 252 01 Statistics Programming
07/09 - 08/13
6:00pm - 7:45pm
2.0 Open Shyne, Michael
Completely Online - Synchronous Location: z MnSCU Metropolitan State University
Building/Room: To Be Determined TBA

Meeting Details
7/9/2020 - 8/13/2020 Th 6:00pm - 7:45pm To Be Determined TBA Shyne, Michael

  • Note: Due to pandemic, this course has been converted from lecture to Remote Learning Instruction.
  • Online Participation Required First Week of Class.
  • Remote Learning Instruction Update: This course has required synchronous online meetings beginning Thursday, July 9, at 6:00pm. Intermediate computer/Internet skills and webcam technology required. For online learning and course access information go to Note: Students whose prerequisites are not identified by the system would contact the Math and Statistics Department for an override at

Location Details
Offered through: Metropolitan State University.
Campus: Metropolitan State University. Location: z MnSCU Metropolitan State University.

Seat Availability
Status: Open Size: 32 Enrolled: 23 Seats Remaining: 9

Prerequisites (Courses and Tests)
[STAT 201 - Statistics I]
Full refund is available until July 10, 2020, 11:59PM CST.
The last day to add this course is 5 business day(s) after July 6, 2020. The last day to drop this course is 5 business day(s) after July 6, 2020.
The last day to withdraw from this course is August 6, 2020.

Tuition and Fees (Approximate)

Tuition and Fees (approximate):

Tuition -resident: $468.72
Tuition -nonresident: $956.32
Approximate Course Fees: $72.22

Course Level

This course covers advanced statistical programming techniques including data wrangling, data visualization and hypothesis testing using R. Topics of this course include R syntax, input and output in R, data visualization, interactive data graphics, data wrangling, tidy data, and hypothesis testing in R. This course builds on the knowledge learned in STAT201.

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