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Fall Term 2021 Statistics for Data Science - 5039 - STAT 255
Registration for this term is over. Changes or corrections to registration now by petition only. Students should contact their academic advisor.
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. PREREQUISITES: STAT 107, BIOL 170, or MATH 140, or instructor permission

Attributes: GER Quantitative Analysis, 200-399 Foundation/Gateway Crs


Term

Fall Term 2021

Instructors

Andrew J. Sage

Course

STAT 255

Grade Mode

Standard

Title

STATISTICS FOR DATA SCIENCE (Q)

Final Exam

Sunday, Nov 21, 2021 03:00 p.m. - 05:30 p.m.

CRN

5039

Status

Active

Class Time

09:50 AM-11:00 AM MWF BRIG 421

Start-End Date

Sep 13, 2021-Nov 23, 2021

Campus

Appleton Main Campus

Units

6

Course materials View Book Information

 

Maximum

Number registered

Number on waitlist

Seats available

Enrollment:

25

20

0

5