Loading...

0G53BG – IBM SPSS Statistics Essentials (V26)

Home / 0G53BG – IBM SPSS Statistics Essentials (V26)

Course Outline:

Course Outline:

Introduction to IBM SPSS Statistics
- Review basic concepts in IBM SPSS Statistics
- Identify the steps in the research process
- Review basic analyses
- Use Help

Reading data and defining metadata
- Overview of data sources
- Read from text files
- Read data from Microsoft Excel
- Read data from databases
- Define variable properties

Selecting cases for analyses
- Select cases for analyses
- Run analyses for groups
- Apply report authoring styles

Transforming variables
- Compute variables
- Recode values of categorical and scale variables
- Create a numeric variable from a string variable

Using functions to transform variables
- Use statistical functions
- Use logical functions
- Use missing value functions
- Use conversion functions
- Use system variables
- Use the Date and Time Wizard

Setting the unit of analysis
- Remove duplicate cases
- Create aggregate datasets
- Restructure datasets

Merging data files
- Add cases from one dataset to another
- Add variables from one dataset to another
- Enrich a dataset with aggregated information

Summarizing individual variables
- Define levels of measurement
- Summarizing categorical variables
- Summarizing scale variables

Describing the relationship between variables
- Choose the appropriate procedure
- Summarize the relationship between categorical variables
- Summarize the relationship between a scale and a categorical variable

Creating presentation-ready tables with Custom Tables
- Identify table layouts
- Create tables for variables with shared categories
- Create tables for multiple response questions

Customizing pivot tables
- Perform Automated Output Modification
- Customize pivot tables
- Use table templates
- Export pivot tables to other applications

Working with syntax
- Use syntax to automate analyses
- Create, edit, and run syntax
- Shortcuts in the Syntax Editor

Controlling the IBM SPSS Statistics environment
- Set options for output
- Set options for variables display
- Set options for default working folders

Course Audience & Prerequisites:

Audience:

- New users of IBM SPSS Statistics
- Users who want to refresh their knowledge about IBM SPSS Statistics
- Anyone who is considering purchasing IBM SPSS Statistics

Prerequisites:

Knowledge of your business requirements

Course Offerings:

Instructor Led In Classroom
Newcomp can directly deliver IBM Business Analytics courses for Business Intelligence, Performance Management, and IBM Advanced Analytics through the use of in-class training facilities.

Currently, in-class courses are offered in Markham, Ottawa, Vancouver, Halifax, and Edmonton. Please note that classes can be added to new areas based on demand.

Instructor Led Online
Students receive the same quality as an in-class course, with a live instructor and the ability to participate in hands-on labs through real-life examples

ILOs help cut costs by reducing time and travel as they can be taken from home or the office and require only the use of a computer, high-speed wired internet and a headset.

Self Paced
Students can receive the same high-quality training, with the same courseware at their own speed and schedule with SPVC. Individuals with busy schedules can complete a course over a 30-day timeframe at a lower price than in-class or ILO courses. Please note that there is no live interaction with an instructor in this format.

  • Course Outline
  • Course Audience & Prerequisites
  • Course Offerings
  • Related Courses

Course Outline:

Introduction to IBM SPSS Statistics
- Review basic concepts in IBM SPSS Statistics
- Identify the steps in the research process
- Review basic analyses
- Use Help

Reading data and defining metadata
- Overview of data sources
- Read from text files
- Read data from Microsoft Excel
- Read data from databases
- Define variable properties

Selecting cases for analyses
- Select cases for analyses
- Run analyses for groups
- Apply report authoring styles

Transforming variables
- Compute variables
- Recode values of categorical and scale variables
- Create a numeric variable from a string variable

Using functions to transform variables
- Use statistical functions
- Use logical functions
- Use missing value functions
- Use conversion functions
- Use system variables
- Use the Date and Time Wizard

Setting the unit of analysis
- Remove duplicate cases
- Create aggregate datasets
- Restructure datasets

Merging data files
- Add cases from one dataset to another
- Add variables from one dataset to another
- Enrich a dataset with aggregated information

Summarizing individual variables
- Define levels of measurement
- Summarizing categorical variables
- Summarizing scale variables

Describing the relationship between variables
- Choose the appropriate procedure
- Summarize the relationship between categorical variables
- Summarize the relationship between a scale and a categorical variable

Creating presentation-ready tables with Custom Tables
- Identify table layouts
- Create tables for variables with shared categories
- Create tables for multiple response questions

Customizing pivot tables
- Perform Automated Output Modification
- Customize pivot tables
- Use table templates
- Export pivot tables to other applications

Working with syntax
- Use syntax to automate analyses
- Create, edit, and run syntax
- Shortcuts in the Syntax Editor

Controlling the IBM SPSS Statistics environment
- Set options for output
- Set options for variables display
- Set options for default working folders

Audience:

- New users of IBM SPSS Statistics
- Users who want to refresh their knowledge about IBM SPSS Statistics
- Anyone who is considering purchasing IBM SPSS Statistics

Prerequisites:

Knowledge of your business requirements

Instructor Led In Classroom
Newcomp can directly deliver IBM Business Analytics courses for Business Intelligence, Performance Management, and IBM Advanced Analytics through the use of in-class training facilities.

Currently, in-class courses are offered in Markham, Ottawa, Vancouver, Halifax, and Edmonton. Please note that classes can be added to new areas based on demand.

Instructor Led Online
Students receive the same quality as an in-class course, with a live instructor and the ability to participate in hands-on labs through real-life examples

ILOs help cut costs by reducing time and travel as they can be taken from home or the office and require only the use of a computer, high-speed wired internet and a headset.

Self Paced
Students can receive the same high-quality training, with the same courseware at their own speed and schedule with SPVC. Individuals with busy schedules can complete a course over a 30-day timeframe at a lower price than in-class or ILO courses. Please note that there is no live interaction with an instructor in this format.

0G51AG – IBM Statistical Analysis Using IBM SPSS Statistics

This course 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, 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 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.

0G53AG – IBM SPSS Statistics Essentials

This course 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.