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0G515G – Introduction to Statistical Analysis Using IBM SPSS Statistics (v24)

Introduction to Statistical Analysis Using IBM SPSS Statistics (v24) provides an application-oriented introduction to the statistical component of IBM SPSS Statistics. Students will review several statistical techniques and discuss situations in which they would use each technique, the assumptions made by each method, how to set up the analysis, as well as how to interpret the results. This includes a broad range of techniques for exploring and summarizing data, as well as investigating and testing underlying relationships. Students will gain an understanding of when and why to use these various techniques as well as how to apply them with confidence, interpret their output, and graphically display the results. This course uses the IBM SPSS Statistics Base features.

  • In-class
  • Instructor Led Online
  • Self-Paced Virtual Classroom
Register for self-paced course

0G524G – Data Management and Manipulation with IBM SPSS Statistics

Data Management and Manipulation with IBM SPSS Statistics is a two day course on the use of a wide range of transformation techniques, ways to automate data preparation work, manipulate data files and analytical results. Students will gain an understanding of the various options for controlling the IBM SPSS Statistics operating environment and how to perform data transformations efficiently.

  • In-class
  • Instructor Led Online
  • Self-Paced Virtual Classroom
Register for self-paced course

0L009G – IBM SPSS Statistics: Exploratory Data Analysis

This course provides an application-oriented introduction to the advanced statistical methods available in IBM SPSS Statistics for data analysts and researchers. 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, as well as how to interpret the results. This includes a broad range of techniques for predicting both continuous and categorical outcomes, as well as methods to cluster cases, create statistical groupings of variables, and find similar cases using a large set of variables. Students will gain an understanding of when and why to use these various techniques as well as how to apply them with confidence and interpret their output.

  • In-class
  • Instructor Led Online

0L019G – IBM SPSS Statistics: Adv. Topics in Regression and Discriminant Analysis

IBM SPSS Statistics: Advanced Topics in Regression and Discriminant Analysis (V19) is a one day instructor-led course that provides a practical, application-oriented introduction to some of the advanced statistical methods available in IBM SPSS Statistics for data analysts and researchers. Students will review several 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, as well as how to interpret the results. Students will gain an understanding of when and why to use these various techniques as well as how to apply them with confidence and interpret their output.

  • In-class
  • Instructor Led Online

0L2M9G – IBM SPSS Statistics: Ordinal Regression, GLM and Hierarchical Modeling

IBM SPSS Statistics: Ordinal Regression, GLM and Hierarchical Modeling (V19) is a one day instructor-led course that provides a practical, application-oriented introduction to some of the advanced statistical methods available in IBM SPSS Statistics for data analysts and researchers. Students will review several 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, as well as how to interpret the results. Students will gain an understanding of when and why to use these various techniques as well as how to apply them with confidence and interpret their output.

  • In-class
  • Instructor Led Online