Advanced Statistical Analysis Using IBM SPSS Statistics V25 (0G09AG) Training Logo

Advanced Statistical Analysis Using IBM SPSS Statistics V25 (0G09AG) Training

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This course provides an application-oriented introduction to advanced statistical methods available in IBM SPSS Statistics.

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What is Advanced Statistical Analysis Using IBM SPSS Statistics V25 (0G09AG) Certification Training about?

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.

What are the objectives of Advanced Statistical Analysis Using IBM SPSS Statistics V25 (0G09AG) Certification Training ?

At the end of this course, you'll be able to: 

  • Introduction to advanced statistical analysis
  • Group variables: Factor Analysis and Principal Components Analysis
  • Group similar cases: Cluster Analysis
  • Predict categorical targets with Nearest Neighbor Analysis
  • Predict categorical targets with Discriminant Analysis
  • Predict categorical targets with Logistic Regression
  • Predict categorical targets with Decision Trees
  • Introduction to Survival Analysis
  • Introduction to Generalized Linear Models
  • Introduction to Linear Mixed Models

Who is Advanced Statistical Analysis Using IBM SPSS Statistics V25 (0G09AG) Certification Training for?

  • Anyone who works with IBM SPSS Statistics and wants to learn advanced statistical procedures to be able to better answer research questions.

What are the prerequisites for Advanced Statistical Analysis Using IBM SPSS Statistics V25 (0G09AG) Certification Training?

  • Experience with IBM SPSS Statistics (navigation through windows; using dialog boxes)
  • Knowledge of statistics, either by on the job experience, intermediate-level statistics oriented courses, or completion of the Statistical Analysis Using IBM SPSS Statistics (V25) course.

Available Training Modes

Live Online Training

12 Hours

Classroom Training

2 Days

Course Outline Expand All

Expand All

  • Taxonomy of models
  • Overview of supervised models
  • Overview of models to create natural groupings
  • Factor Analysis basics
  • Principal Components basics
  • Assumptions of Factor Analysis
  • Key issues in Factor Analysis
  • Improve the interpretability
  • Use Factor and component scores
  • 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
  • Nearest Neighbor Analysis basics
  • Key issues in Nearest Neighbor Analysis
  • Assess model fit
  • Discriminant Analysis basics
  • The Discriminant Analysis model
  • Core concepts of Discriminant Analysis
  • Classification of cases
  • Assumptions of Discriminant Analysis
  • Validate the solution
  • Binary Logistic Regression basics
  • The Binary Logistic Regression model
  • Multinomial Logistic Regression basics
  • Assumptions of Logistic Regression procedures
  • Testing hypotheses
  • Decision Trees basics
  • Validate the solution
  • Explore CHAID
  • Explore CRT
  • Comparing Decision Trees methods
  • Survival Analysis basics
  • Kaplan-Meier Analysis
  • Assumptions of Kaplan-Meier Analysis
  • Cox Regression
  • Assumptions of Cox Regression
  • Generalized Linear Models basics
  • Available distributions
  • Available link functions
  • Linear Mixed Models basics
  • Hierachical Linear Models
  • Modeling strategy
  • Assumptions of Linear Mixed Models

Who is the instructor for this training?

The Trainer is IBM certified Instructor with extensive domain experience, including years of experience training & mentoring professionals in the industry.


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Advanced Statistical Analysis Using IBM SPSS Statistics V25 (0G09AG) Certification Training - Certification & Exam

  • SpringPeople is the Authorized Training Partner of IBM through Tech Data
  • For any queries, feel free to reach us at ibm@springpeople.com

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