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IBM Data and AI Analytics Course

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Overview

Advanced Statistical Analysis with IBM SPSS Statistics V26.0 | G09BGis a practical training course for teams that need structured, instructor-led skills in Advanced Statistical Analysis, IBM SPSS Statistics V26.0, G09BG Introduction. CourseMonster has rewritten this summary to make the page clearer for learners, managers and search engines while preserving the key learning outcomes.

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.

. Explore more IBM traininghere

Useful links: IBM Training | Data and Analytics training at CourseMonster | CourseMonster course page

CourseMonster SEO course note: Advanced Statistical Analysis with IBM SPSS Statistics V26.0 | G09BG Training Course | CourseMonster has been positioned as a practical IBM learning pathway for teams that need searchable, role-based training outcomes rather than a generic course description. The page now highlights Statistical, Analysis, IBM, SPSS, Statistics, certification readiness, workplace application and visible next-step links so learners can compare this course with related CourseMonster programmes.The course is listed as 2 day(s), making it suitable for structured team scheduling.It is especially relevant for ibm sps statistics users who want to learn advanced statistical methods to be able to better answer research questions.

Related CourseMonster courses: Statistical Analysis Using IBM SPSS Statistics V26 0G51BG | IBM SPSS Statistics Essentials V26 0G53BG | Advanced Machine Learning Models Using IBM SPSS Modeler V18.2 0A039G Training Course | Cou

Browse the vendor/category pathway: IBM training courses on CourseMonster

Audience

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

Skills Gained

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 Analysis

  • Nearest Neighbors Analysis basics
  • Key issues in Nearest Neighbor Analysis
  • Assess model fit

Predicting categorical targets with Discriminant Analysis

  • Discriminant 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
  • Explore CHAID
  • Explore C&RT

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

Useful links: IBM Training | Data and Analytics training at CourseMonster | CourseMonster course page

Additional workplace outcomes: Participants can explain where Advanced Statistical Analysis with IBM SPSS Statistics V26.0 | G09BG Training Course | CourseMonster fits in a wider IBM skills roadmap, identify related certifications or follow-on courses, and apply the concepts to real project, operations or service delivery scenarios.

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.

Outline

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 Analysis

  • Nearest Neighbors Analysis basics
  • Key issues in Nearest Neighbor Analysis
  • Assess model fit

Predicting categorical targets with Discriminant Analysis

  • Discriminant 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
  • Explore CHAID
  • Explore C&RT

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
. Explore more IBM traininghere

Useful links: IBM Training | Data and Analytics training at CourseMonster | CourseMonster course page

Suggested learning path: After this course, compare related options via the links in the overview and the IBM training category.

Certification

Exam and certification details

This course may support a vendor exam, digital badge or professional certification depending on the selected delivery option. Delegates should confirm exam inclusion, voucher availability, prerequisites, pass mark and version before booking.

Official vendor training information: IBM Training.

What will I learn in the Advanced Statistical Analysis with IBM SPSS Statistics V26.0 | G09BG training course?

You will learn the core concepts of Advanced Statistical Analysis, IBM SPSS Statistics V26.0, G09BG Introduction, how they apply in real workplace situations, and how to use the course outcomes to improve team capability.

Is Advanced Statistical Analysis with IBM SPSS Statistics V26.0 | G09BG suitable for beginners or experienced professionals?

It is suitable for learners who need structured training in Advanced Statistical Analysis, with prerequisites depending on the course level, vendor pathway and any certification requirements.

Does the Advanced Statistical Analysis with IBM SPSS Statistics V26.0 | G09BG course help with certification or exam preparation?

The course includes exam-focused guidance where the vendor certification is applicable; check the exam section and the visible official vendor link for the latest exam code, format and syllabus.

What should I study after Advanced Statistical Analysis with IBM SPSS Statistics V26.0 | G09BG Training Course | CourseMonster?

A common next step is to compare related CourseMonster courses in the IBM pathway. See visible links on this page, including https://www.coursemonster.com/training-courses/ibm, to choose the most relevant follow-on course.

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If you need training for 3 or more people, you should ask us about onsite training. Putting aside the obvious location benefit, content can be customised to better meet your business objectives and more can be covered than in a public classroom. Its a cost effective option. One on one training can be delivered too, at reasonable rates.

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SPVC = Self Paced Virtual Class

LVC = Live Virtual Class

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