Predictive Analytics

ALY 6020 3 Quarter Hours
Course Level CPS - Graduate
Description Introduces the end-to-end data-driven statistical modeling and predictive modeling approach in R with applications and case studies. Includes all the data and modeling steps in a full modeling cycle, including data ETL process, exploratory data analysis and data cleansing for outlier imputation and data normalization, commonly applied modeling techniques such as linear regression and logistic regression, modeling steps such as model training, and validation and testing. R is introduced as the data processing, analysis, and modeling tool and is used in the case studies.

Prerequisites

Students should refer to the CPS Prerequisite Table for course prerequisite and corequisite information.

 

Course Sections

Section 01
CRN 20941
Session Winter 2018 CPS Quarter - First Half
Class Meeting Dates 01/08/2018 to 02/17/2018
Campus Online Campus
Course Format Online
Costs Course Cost: View Tuition Rates | Books: Visit NU Bookstore Site
Section 02
CRN 20942
Session Winter 2018 CPS Quarter - Second Half
Class Meeting Dates 02/20/2018 to 03/31/2018
Schedule Thursday, 5:50 pm - 8:00 pm
Campus Boston Main Campus
Course Format Blended
Costs Course Cost: View Tuition Rates | Books: Visit NU Bookstore Site
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