IBM SPSS Modeler: Techniques for Missing Data

IBM SPSS Modeler Seminar Series
3.81 (27 reviews)
Udemy
platform
English
language
Data & Analytics
category
Sandy Midili
instructor
IBM SPSS Modeler: Techniques for Missing Data
277
students
3.5 hours
content
Apr 2014
last update
$19.99
regular price

What you will learn

Understand how missing data is identified and defined in IBM SPSS Modeler

Impute missing values

Remove missing data

Run parallel streams with and without missing data

Use the Type, Data Audit, Derive, and Filler nodes to identify and handle missing data

Screenshots

IBM SPSS Modeler: Techniques for Missing Data - Screenshot_01IBM SPSS Modeler: Techniques for Missing Data - Screenshot_02IBM SPSS Modeler: Techniques for Missing Data - Screenshot_03IBM SPSS Modeler: Techniques for Missing Data - Screenshot_04
Related Topics
196902
udemy ID
4/10/2014
course created date
1/29/2021
course indexed date
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