IBM SPSS Statistics Essentials (V26)

IBM Training for IBM SPSS Statistics Essentials (V26)

Skill Level: Basic

Modality: SPVC - Self Paced Virtual Class

Duration: 2 Day/s

Starting Price: $ - 735

Overview:

In this course, you will learn how to read data files, transform variables, run analyses, and report your results using IBM SPSS Statistics (V26).

This course guides students through the fundamentals of using IBM SPSS Statistics for typical data analysis. Students will learn the basics of reading data, data definition, data modification, data analysis, and presentation of analytical results. In addition to the fundamentals, students will learn shortcuts that will help them save time. This course uses the IBM SPSS Statistics Base; one section presents an add-on module, IBM SPSS Custom Tables.

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Target 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.

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Prerequisites: Knowledge of your business requirements.

Topic: 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

IBM Training

Objective: 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

Category: Data, Analytics, and AI

Product Name:

IBM SPSS Statistics

Badge and Certification Info:

Badge Title:

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Brand: Analytics

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