IBM Training for Advanced Statistical Analysis Using IBM SPSS Statistics (V26)

Skill Level: Advanced

Modality:  SPVC – Self Paced Virtual Class

Duration: 2 Day/s

Starting Price:  $ – 735

Overview:

In this course you will learn how to use advanced statistical procedures, such as Factor, Cluster, Decision Trees, Cox Regression, and Linear Mixed models, using IBM SPSS Statistics (V26).

Contains: PDF course guide, as well as a lab environment where students can work through demonstrations and exercises at their own pace. This course provides an application-oriented introduction to advanced statistical methods available in IBM SPSS Statistics. Students will review a variety of advanced statistical techniques and discuss situations in which each technique would be used, the assumptions made by each method, how to set up the analysis, and how to interpret the results. This includes a broad range of techniques for predicting variables, as well as methods to cluster variables and cases.

Cyber Retaliator Solutions

CRS is the Top Global Training Provider for some of the world’s biggest brands.
Authorized Training delivered to you by the global leader in IBM Training.

Request a Quote

Please enable JavaScript in your browser to complete this form.

Full Name *

Company *

Email *

Email

Confirm Email

Phone *

Country *

How many Attendees/ Delegates will attend *Number of Attendees/ Delegates123456-1011-2021-3031-4041-5050+

Course Name *

Multiple Choice *

• Yes, I do require costing for Certification Exam.
• No, I do not require costing for Certification Exam.

Required Date of Training and Additional Comments/ Requirements

Day *Day12345678910111213141516171819202122232425262728293031

Month *MonthJanFebMarAprMayJunJulAugSepOctNovDec

Year *Year2024202520262027202820292030

How did you hear about us? *

• CRS Website
• Google Search
• IBM Website
• LinkedIn
• Facebook
• Twitter
• Instagram
• Pinterest
• Referal
• Colleague/ Acquaintance
• CRS Account Manager
• Other

Yes, I would like to receive special offers from CRS.

• Yes, I would like to receive special offers from CRS.

Yes, I would like to receive special offers from CRS. *

• I have read and agree to CRS's Terms and Conditions and Privacy Policy, and I consent to have my submitted information stored.

Submit

Target Audience:

IBM SPS Statistics users who want to learn advanced statistical methods to be able to better answer research questions..

Prerequisites: Experience with IBM SPSS Statistics (version 18 or later) 

• Knowledge of statistics, either by on the job experience, intermediate-level statistics oriented courses, or completion of the Statistical Analysis Using IBM SPSS Statistics (V26) course. 

.

Topic: Introduction to advanced statistical analysis Taxonomy of models

• Overview of supervised models
• Overview of models to create natural groupings

 Grouping variables with Factor Analysis and Principal Components Analysis Factor Analysis basics

• Principal Components basics
• Assumptions of Factor Analysis
• Key issues in Factor Analysis
• Use Factor and component scores

 Grouping cases with Cluster Analysis Cluster Analysis basics

• Key issues in Cluster Analysis
• K-Means Cluster Analysis
• Assumptions of K-Means Cluster Analysis
• TwoStep Cluster Analysis
• Assumptions of TwoStep Cluster Analysis

 Predicting categorical targets with Nearest Neighbor AnalysisNearest Neighbors Analysis basics

• Key issues in Nearest Neighbor Analysis
• Assess model fit

 Predicting categorical targets with Discriminant AnalysisDiscriminant Analysis basics

• The Discriminant Analysis model
• Assumptions of Discriminant Analysis
• Validate the solution

 Predicting categorical targets with Logistic Regression Binary Logistic Regression basics

• The Binary Logistic Regression model
• Multinomial Logistic Regression basics
• Assumptions of Logistic Regression procedures
• Test hypotheses
• ROC curves

 Predicting categorical targets with Decision Trees Decision Trees basics

• Explore CHAID
• Explore C&RT
• Compare Decision Trees methods

 Introduction to Survival Analysis Survival Analysis basics

• Kaplan-Meier Analysis
• Assumptions of Kaplan-Meier Analysis
• Cox Regression
• Assumptions of Cox Regression

 Introduction to Generalized Linear Models Generalized Linear Models basics

• Available distributions
• Available link functions

 Introduction to Linear Mixed Models Linear Mixed Models basics

• Hierarchical Linear Models
• Modeling strategy
• Assumptions of Linear Mixed Models

.

IBM Training

Objective: Introduction to advanced statistical analysis Taxonomy of models

• Overview of supervised models
• Overview of models to create natural groupings

 Grouping variables with Factor Analysis and Principal Components Analysis Factor Analysis basics

• Principal Components basics
• Assumptions of Factor Analysis
• Key issues in Factor Analysis
• Use Factor and component scores

 Grouping cases with Cluster Analysis Cluster Analysis basics

• Key issues in Cluster Analysis
• K-Means Cluster Analysis
• Assumptions of K-Means Cluster Analysis
• TwoStep Cluster Analysis
• Assumptions of TwoStep Cluster Analysis

 Predicting categorical targets with Nearest Neighbor AnalysisNearest Neighbors Analysis basics

• Key issues in Nearest Neighbor Analysis
• Assess model fit

 Predicting categorical targets with Discriminant AnalysisDiscriminant Analysis basics

• The Discriminant Analysis model
• Assumptions of Discriminant Analysis
• Validate the solution

 Predicting categorical targets with Logistic Regression Binary Logistic Regression basics

• The Binary Logistic Regression model
• Multinomial Logistic Regression basics
• Assumptions of Logistic Regression procedures
• Test hypotheses
• ROC curves

 Predicting categorical targets with Decision Trees Decision Trees basics

• Explore CHAID
• Explore C&RT
• Compare Decision Trees methods

 Introduction to Survival Analysis Survival Analysis basics

• Kaplan-Meier Analysis
• Assumptions of Kaplan-Meier Analysis
• Cox Regression
• Assumptions of Cox Regression

 Introduction to Generalized Linear Models Generalized Linear Models basics

• Available distributions
• Available link functions

 Introduction to Linear Mixed Models Linear Mixed Models basics

• Hierarchical Linear Models
• Modeling strategy
• Assumptions of Linear Mixed Models

Category: Data, Analytics, and AI

Product Name:

IBM SPSS Statistics

Badge and Certification Info:

Badge Title:

Badge ID:

Brand: Analytics

IBM Training is available now.

Cyber Retaliator Solutions (CRS) is a Cyber Security Distributor, Authorized IBM Training Center, Red Hat and SUSE Training Partner, and a CompTIA Training Delivery Partner, operating throughout the Globe. Our Head Office is in Centurion South Africa, with IBM Training Centers in Centurion, Midrand, Sandton, Cape Town, California CA, Florida FL, New York NY, Washington DC, Georgia GA, Texas TX.

CRS is the Top Global Training Provider for some of the world’s biggest brands.

Authorized Training delivered to you by the global leader in IBM Training.

Select courses in:

IBM Cloud

DataPower

IBM Automation

IBM Rational

IBM Systems

Cognos

IBM Storage

Mainframe

IBM Security

System Z

IBM Industry

Websphere

Get the Best IBM Training from CRS. As an IBM Training Provider, we’ve partnered with IBM through Arrow ECS to deliver training that covers the full portfolio of IBM systems and software.

Get the Best IBM Training from CRS. As an IBM Training Provider, we’ve partnered with IBM through Arrow ECS to deliver training that covers the full portfolio of IBM systems and software.

Authorized IBM Training

RedHat Training

SUSE Training

Cyber Awareness Training

Agile SAFe Training

Cyber Security

Cyber Data IT Network Security - The bug stops here - Cyber Retaliator Solutions

Cyber Retaliator Solutions - IBM Training - IBM Certification Training -

Follow CRS on LinkedIn

Cyber Retaliator Solutions is an Authorised IBM Training Center, RedHat Training Partner, and Cyber Security Distributor, Operating throughout the Globe.

Follow CRS on X

Cyber Retaliator Solutions is an Authorised IBM Training Center, RedHat Training Partner, and Cyber Security Distributor, Operating throughout the Globe.

Cyber Retaliator Solutions

Cyber Retaliator Solutions, Centurion, Gauteng. 433 likes · 1 talking about this · 1 was here. Cyber Retaliator Solutions (CRS) is a Cyber Security Distributor and Authorized IBM Training Centre.Cyber Retaliator Solutions is an Authorised IBM Training Center, RedHat Training Partner, and Cyber Security Distributor, Operating throughout the Globe.

Follow CRS on Instagram

Cyber Retaliator Solutions is an Authorised IBM Training Center, RedHat Training Partner, and Cyber Security Distributor, Operating throughout the Globe.

Subscribe to the CRS YouTube Channel

Cyber Retaliator Solutions is an Authorised IBM Training Center, RedHat Training Partner, and Cyber Security Distributor, Operating throughout the Globe.

Follow CRS on Pinterest

Cyber Retaliator Solutions is an Authorised IBM Training Center, RedHat Training Partner, and Cyber Security Distributor, Operating throughout the Globe.

CRS offers

IBM Training

and

IBM Certification Training

across

The United States of America

with locations:

4700 Millenia Blvd., Orlando, Florida 32839

250 Park Avenue, New York, New York 10177

4900 California Avenue, Tower B, Bakersfield, California 93309

1300 I Street NW, Washington, District of Columbia 20005

235 W Roosevelt Ave, Albany, Georgia 31701

4400 Buffalo Gap Rd., Abilene, Texas 79606

Follow CRS:

• CRS Homepage
• IBM Homepage
• LinkedIn

Follow on Courses:

Replaced By: 

Contains: PDF course guide, as well as a lab environment where students can work through demonstrations and exercises at their own pace.

spss statistics ibm spss analytics analysis

VMWare-Based (simple) (10)

The price on this page are indicative. Please contact CRS via the above form to confirm pricing.