This three day 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 your output.

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- In-class
- Instructor Led Online
- Self-Paced Virtual Classroom

#### 0G406G – IBM SPSS Statistics Syntax I

Syntax is the command language that gives instructions to SPSS Statistics on how to modify, manage, and analyze your data. Syntax programs can be used to automate repetitive tasks and perform additional options that are not available in the dialog boxes. Students will learn the rules of SPSS syntax, how to generate syntax from the dialog boxes, modify and optimize its use. The approach of the course will be that the dialog boxes and syntax are complementary.

- In-class
- Instructor Led Online
- Self-Paced Virtual Classroom

#### 0G416G – IBM SPSS Statistics Syntax II

This syntax course focuses on powerful data transformations (only available in syntax – not in the GUI) and on automation. For automation, the two main topical areas are Macros and the Production Facility. The Macro language is discussed in detail, with examples showing how Macros can make your syntax more efficient, more transparent and easier. The discussion of the Production Facility shows how syntax files can be scheduled in the Windows environment (the same applies to other operating systems).

- In-class
- Instructor Led Online
- Self-Paced Virtual Classroom

#### 0G504G – Introduction to IBM SPSS Statistics

Introduction to IBM SPSS Statistics guides students through the fundamentals of using IBM SPSS Statistics for typical data analysis process. Students will learn the basics of reading data, data definition, data modification, and data analysis and presentation of analytical results. Students will also see how easy it is to get data into IBM SPSS Statistics so that you can focus on analyzing the information. In addition to the fundamentals, students will learn shortcuts that will help them save time. This course uses the IBM SPSS Statistics Base features.

- In-class
- Instructor Led Online
- Self-Paced Virtual Classroom

#### 0G505G – Introduction to IBM SPSS Statistics (v24)

Introduction to IBM SPSS Statistics (v24) guides students through the fundamentals of using IBM SPSS Statistics for typical data analysis process. Students will learn the basics of reading data, data definition, data modification, and data analysis and presentation of analytical results. Students will also see how easy it is to get data into IBM SPSS Statistics so that they can focus on analyzing the information. In addition to the fundamentals, students will learn shortcuts that will help them save time. This course uses the IBM SPSS Statistics Base features.

- In-class
- Instructor Led Online
- Self-Paced Virtual Classroom

#### 0G514G – Introduction to Statistical Analysis Using IBM SPSS Statistics

Introduction to Statistical Analysis Using IBM SPSS Statistics (V23) 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.

- In-class
- Instructor Led Online
- Self-Paced Virtual Classroom

#### 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

#### 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

#### 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