Go to Main Content
HELP | LOGOUT

Detail Course Information

 

Transparent Image
Sections Found
Spring Term 2021 Statistics for Data Science - 3918 - STAT 255
Registration for this term is over. Changes or corrections to registration now by petition only. Students should contact their academic advisor.
Classes have begun. Approval of the instructor is now required for registration.


Prerequisites/Notes: STAT 107, BIOL 170, or MATH 140, or instructor permission

Catalog Description : This course introduces modern statistical techniques in the context of predictive inference and modeling. Topics will include data analysis techniques such as linear and logistic regression, ANOVA, nonparametric methods, and computational approaches such as cross-validation and bootstrapping. Statistical software will be used frequently. This class will involve regular in-class and out-of-class assignments as well as exams and quizzes.

Attributes: Quantitative Analy GER (01cr), BM Natural Science (01cr), Foundation/Gateway Course, Remote Synchronous Delivery


Term

Spring Term 2021

Instructors

Andrew J. Sage

Course

STAT 255

Grade Mode

Standard

Title

STATISTICS FOR DATA SCIENCE (Q)

Final Exam

Tuesday, Jun 08, 2021 11:30 a.m. - 02:00 p.m.

CRN

3918

Status

Active

Class Time

12:30-01:40 MWF

Start-End Date

Mar 29, 2021-Jun 09, 2021

Campus

Appleton Main Campus

Units

6

Course materials View Book Information

 

Maximum

Number registered

Number on waitlist

Seats available

Enrollment:

25

25

0

0