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Viewing: DNSC 6213 : Statistics for Analytics II

Last approved: Wed, 17 Aug 2016 08:05:31 GMT

Last edit: Sun, 14 Aug 2016 17:17:55 GMT

Catalog Pages referencing this course
School of Business
Decision Sciences (DNSC)
DNSC
6213
Statistics for Analytics II
Statistics for Analytics II
Fall 2016
1.5
Course Type
Lecture
Default Grading Method
Letter Grade
students in the MS in business analytics and graduate certificate in business analytics programs or with departmental permission
No
No
DNSC 6203
Corequisites

40
Dr. Philip Wirtz
Funger Hall, 415G
202-994-6369
pww@gwu.edu

Dr. Refik Soyer
Funger Hall, 415B
202-994-6445
soyer@gwu.edu
Frequency of Offering

Term(s) Offered

Are there Course Equivalents?
No
 
No
Fee Type


No


Statistical methodologies for business analytics in real world scenarios; introduction of high-level analytical techniques such as hierarchical linear modeling and mixed-effects modeling.
1. Identify when GLM assumption violation is vs. is not problematic 2. Use advanced analytic techniques, applied to business analytic data, to identify violations of GLM assumptions 3. Use state-of-the art techniques to transform data and remedy GLM assumption violations
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Course Attribute


Key: 10387