DATASCI 413 - Applied Regression Analysis
Winter 2022, Section 001
Instruction Mode: Section 001 is  In Person (see other Sections below)
Subject: Data Science (DATASCI)
Department: LSA Statistics
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Details

Credits:
4
Requirements & Distribution:
BS
Credit Exclusions:
No credit granted for those who have completed or enrolled in STATS 500.
Enforced Prerequisites:
[MATH 214, OR MATH 217 OR MATH 417] AND [(STATS 250 AND MATH/STATS 425) OR STATS 412 OR STATS 426].
BS:
This course counts toward the 60 credits of math/science required for a Bachelor of Science degree.
Repeatability:
May not be repeated for credit.
Primary Instructor:

Description

This course covers traditional and modern topics in regression analysis. It is aimed primarily at undergraduate majors in Statistics and Data Science.

 

Schedule

DATASCI 413 - Applied Regression Analysis
Schedule Listing
001 (LEC)
 In Person
30274
Closed
0
 
-
MW 11:30AM - 1:00PM
002 (LAB)
 In Person
30275
Closed
0
40Enrollment Management
-
Th 2:30PM - 4:00PM
003 (LAB)
 In Person
30276
Closed
0
40Enrollment Management
-
W 2:30PM - 4:00PM
004 (LAB)
 In Person
30277
Closed
0
40Enrollment Management
-
W 5:30PM - 7:00PM

Textbooks/Other Materials

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Syllabi

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CourseProfile (Atlas)

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CourseProfile (Atlas)