IBM SPSS Modeler: Techniques for Missing Data

IBM SPSS Modeler: Techniques for Missing Data, available at $19.99, has an average rating of 3.85, with 20 lectures, based on 27 reviews, and has 274 subscribers.

You will learn about 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 This course is ideal for individuals who are Anyone that has experience with IBM SPSS Modeler or has completed an introductory level data mining course and would like to learn about different ways to handle missing data. It is particularly useful for Anyone that has experience with IBM SPSS Modeler or has completed an introductory level data mining course and would like to learn about different ways to handle missing data.

Enroll now: IBM SPSS Modeler: Techniques for Missing Data

Summary

Title: IBM SPSS Modeler: Techniques for Missing Data

Price: $19.99

Average Rating: 3.85

Number of Lectures: 20

Number of Published Lectures: 20

Number of Curriculum Items: 20

Number of Published Curriculum Objects: 20

Original Price: $39.99

Quality Status: approved

Status: Live

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

Who Should Attend

Anyone that has experience with IBM SPSS Modeler or has completed an introductory level data mining course and would like to learn about different ways to handle missing data.

Target Audiences

Anyone that has experience with IBM SPSS Modeler or has completed an introductory level data mining course and would like to learn about different ways to handle missing data.

IBM SPSS Modeler is a data mining workbench that allows you to build predictive models quickly and intuitively without programming. Analysts typically use SPSS Modeler to analyze data by mining historical data and then deploying models to generate predictions for recent (or even real-time) data.

Overview: Techniques for Missing Data is a series of self-paced videos (three hours of content). Students will learn how missing data is identified and handled in Modeler. Students also will learn different approaches to dealing with missing data including imputation of missing values, removing missing data, and running parallel streams with and without missing data. Students will also learn how to use the Type, Data Audit, and Filler nodes to identify and handle missing data.

Course Curriculum

Chapter 1: Missing Data Seminar

Lecture 1: Introduction to Missing Data

Lecture 2: Missing Data within the context of CRISP-DM

Lecture 3: Reasons for Missing Information

Lecture 4: Type and Amount of Missing Data

Lecture 5: Missing Data Issues

Lecture 6: Ways to Address Missing Data

Lecture 7: Missing Data Definitions

Lecture 8: Useful Nodes to Handle Missing Values

Lecture 9: A First Look at the Data

Lecture 10: Removing Fields and Records

Lecture 11: Creating Null Flags

Lecture 12: Imputing with the Data Audit Node

Lecture 13: Using Full and Partial Data

Lecture 14: Imputing the Median and the Mean

Lecture 15: Using the Anti-Join

Chapter 2: Question and Answer Session

Lecture 1: Question and Answer Introduction

Lecture 2: Using a Model to Replace Missing Values

Lecture 3: When Missing Data Exceeds a Reasonable Amount

Lecture 4: Capturing Comments in a Stream

Lecture 5: Using a Holdout Sample when Imputing

Instructors

Sandy Midili
Business Analytics Training Manager

Rating Distribution

1 stars: 1 votes
2 stars: 2 votes
3 stars: 8 votes
4 stars: 10 votes
5 stars: 6 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

Menu