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Tell us a little about yourself:
This Advanced Statistical Analysis Using IBM SPSS Statistics (V25) 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.
Contains PDF course guide, as well as a lab environment where students can work through demonstrations and exercises at their own pace.
If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.
Anyone who works with IBM SPSS Statistics and wants to learn advanced statistical procedures to be able to better answer research questions.
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