IBM SPSS Modeler: Modeler’s New R Nodes

IBM SPSS Modeler: Modeler’s New R Nodes, available at $19.99, has an average rating of 3.11, with 20 lectures, based on 9 reviews, and has 167 subscribers.

You will learn about 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 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 how to use Modeler and R together. 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 how to use Modeler and R together.

Enroll now: IBM SPSS Modeler: Modeler’s New R Nodes

Summary

Title: IBM SPSS Modeler: Modeler’s New R Nodes

Price: $19.99

Average Rating: 3.11

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

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

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 how to use Modeler and R together.

Target Audiences

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.

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.

Course Curriculum

Chapter 1: Modeler's New R Nodes Seminar

Lecture 1: The Organization of the Seminar

Lecture 2: Overview of the R Integration Package

Lecture 3: Application Example- A Weather ‘Source Node’

Lecture 4: Writing the R Code to do GeoCoding in Modeler

Lecture 5: Building your own Custom R Node

Lecture 6: Building your own Modeling Node- Random Forests

Lecture 7: The R model building syntax

Lecture 8: The R scoring syntax

Lecture 9: Reviewing the Model Results

Lecture 10: Building a Dialog for Random Forests

Lecture 11: Does Modeler treat an R Model like any other Model

Lecture 12: String Distance Demonstration

Lecture 13: Iterative Neural Net Forecasts Demontration

Lecture 14: Questions about Writing the Neural Net Forecast Node

Lecture 15: Getting Started with R and Modeler

Lecture 16: Getting familiar with R using R Studio

Lecture 17: Basic Grammar and Commands in R

Lecture 18: Matrices, Data Frames, and Models

Lecture 19: Summary Statistics and GGPlot2

Lecture 20: Cbind() and Apply()

Instructors

Sandy Midili
Business Analytics Training Manager

Rating Distribution

1 stars: 1 votes
2 stars: 2 votes
3 stars: 4 votes
4 stars: 1 votes
5 stars: 1 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!

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