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Data Science

Course Descriptions and Schedule

MSDS 411-DL : Generalized Linear Models


Description

This course extends linear ordinary least-squares regression, introducing the concept of the generalized linear model and its use in making predictions. The course reviews traditional linear regression as a special case of generalized linear models, and then continues with logistic regression, Poisson regression, and survival analysis. The course is heavily weighted towards practical application with large data sets containing missing values and outliers. It addresses issues of data preparation, model development, validation, and deployment.


This is a required course for the Analytics and Modeling specialization.

Prerequisites: MSDS 410-DL Regression and Multivariate Analysis.

SECTION-SPECIFIC LANGUAGES:

Sections 55, 56, 57- R

Section 58 - Python



Winter 2019
Start/End DatesDay(s)TimeBuildingSection
01/07/19 - 03/25/19Optional Sync W
7 – 9:30 p.m. 55
InstructorCourse FormatStatusCAESAR Course ID
Wilck, Joe
Online
Open
Schedule Notes :

Section-specific language - R

Course Materials :

Section-specific language - R


Winter 2019
Start/End DatesDay(s)TimeBuildingSection
01/07/19 - 03/25/19Optional Sync Th
7 – 9:30 p.m. 56
InstructorCourse FormatStatusCAESAR Course ID
Wilck, Joe
Online
Open
Schedule Notes :

Section-specific language - R

Course Materials :

Section-specific language - R


Winter 2019
Start/End DatesDay(s)TimeBuildingSection
01/07/19 - 03/25/19Optional Sync M
7 – 9:30 p.m. 58
InstructorCourse FormatStatusCAESAR Course ID
Ott, Melvin
Online
Open
Schedule Notes :

Section-specific language - Python

Course Materials :

Section-specific language - Python

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