IBM SPSS Modeler: Modeler’s New R Nodes

IBM SPSS Modeler Seminar Series
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  • Lectures 20
  • Length 2.5 hours
  • Skill Level Intermediate Level
  • Languages English
  • Includes Lifetime access
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    Available on iOS and Android
    Certificate of Completion
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About This Course

Published 5/2014 English

Course Description

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: Modeler's New R Nodes is a series of self-paced videos. This course is divided into four parts:

    ·What are the new Modeler R Nodes and why are they an exciting addition?

    ·What is R and what are some of the best ways to learn more about it?

    ·Adding new graphics capability with R

    ·Adding new statistics capability with R

We discuss one of the exiting new features of Modeler 16. We show some R functionality in the R environment itself, but the seminar will culminate in the demonstration of R capabilites in a Modeler stream. Advice will be given on how best to develop more skills in this area, but you will have some working knowledge from these videos alone.

What are the requirements?

  • Knowledge or experience with IBM SPSS Modeler or completion of an introductory level data mining course and on the job data mining experience.

What am I going to get from this course?

  • Describe the new features and why they are useful
  • Learn more R through self study
  • Add new graphics capability in Modeler
  • Add new statistics capability in Modeler

What is the target audience?

  • Anyone that has experience with IBM SPSS Modeler or has completed an introductory level data mining course and would like to learn how to use Modeler and R together.

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.

Curriculum

Section 1: Modeler's New R Nodes Seminar
The Organization of the Seminar
03:47
Overview of the R Integration Package
11:56
Application Example- A Weather ‘Source Node’
02:00
Writing the R Code to do GeoCoding in Modeler
11:04
Building your own Custom R Node
07:09
Building your own Modeling Node- Random Forests
08:10
The R model building syntax
06:32
The R scoring syntax
03:13
Reviewing the Model Results
01:47
Building a Dialog for Random Forests
12:01
Does Modeler treat an R Model like any other Model
02:28
String Distance Demonstration
Preview
06:37
Iterative Neural Net Forecasts Demontration
Preview
03:34
Questions about Writing the Neural Net Forecast Node
07:46
Getting Started with R and Modeler
19:41
Getting familiar with R using R Studio
07:01
Basic Grammar and Commands in R
09:59
Matrices, Data Frames, and Models
09:20
Summary Statistics and GGPlot2
10:27
Cbind() and Apply()
04:37

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Instructor Biography

Sandy Midili, Business Analytics Training Manager

I have been the Business Analytics Training Manager at QueBIT Consulting since 2006. I am a certified technical trainer and am certified in IBM Cognos products. I can assist you with coordinating a specific training program that will meet your organization's specific educational goals. In addition, I also provide training in:

  • IBM Cognos Business Intelligence
  • IBM Cognos TM1
  • IBM Cognos Planning
  • IBM Cognos Finance

QueBIT's training program is unique because we can tailor our material to your application and make sure we cover the concepts important to you and your personnel. We don't only teach you how to use the solution, but also guide you with proven best practices and tips and instruct you on how to problem solve issues enabling you to become self-sufficient with the tool.

Prior to joining QueBIT, I was a Financial Performance Instructor for Cognos Corporation. During my seven year tenure, I also became a third-level support specialist for Cognos Finance and Cognos Planning.

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