Metropolitan State University


 My Plan for Summer 2020
 Wish List:  

Login to view your plan.

 Wait List:  

View/Modify Schedule  Registered:  Expand My Plan  
Remove from Wait List

< New Search Continue to Review My Plan >

STAT 252 - Statistics Programming
Summer 2020, Section 01

search actionsID #Subj#SecTitleDatesDaysTimeCrdsStatusInstructorDelivery MethodLoc
Add to Wish List Find Equivalent Courses Add To Waitlist (Disabled)
000183 STAT 252 01 Statistics Programming
07/09 - 08/13
Th
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
DatesDaysTimeBuilding/RoomInstructor
7/9/2020 - 8/13/2020 Th 6:00pm - 7:45pm To Be Determined TBA Shyne, Michael

Notes
  • 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 www.metrostate.edu/solr. Note: Students whose prerequisites are not identified by the system would contact the Math and Statistics Department for an override at MATH@metrostate.edu.

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]
Add/Drop/Withdraw
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
Undergraduate

Description
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.

Add To Wait List