IBM SPSS Statistics Essentials (v25) Training

IBM SPSS Statistics Essentials (v25) Training is aimed at professionals to learn more about the fundamentals of using IBM SPSS Statistics for the classic data analytics process.

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Course Overview

IBM SPSS Statistics Essentials (v25) Training is aimed at professionals to learn more about the fundamentals of using IBM SPSS Statistics for the classic data analytics process.

This technical course educates individuals on the fundamentals of the data definition, data modification, reading data, data assessment and presentation of analytical results.

Our enterprise training program is ideal for organizations and companies. It teaches you to transform variables and utilize functions to compute them.

You will learn to merge data files, and it also helps you choose cases for analyses and summarize individual variables.

This program is suitable for professionals who want to get familiar with IBM SPSS Statistics program and individuals who are thinking of purchasing it.

Through this course, you will learn various essential aspects, including customizing pivot tables, working with syntax, and chart customization and creation.

Mode of Training

🏫 Classroom 💻 Live Online 🧪 Blended 👨‍👩‍👧‍👦 Private Group

What you will learn

Brief introduction of IBM SPSS Statistics.
Defining and reading metadata.
Transforming the variables.
Utilizing functionalities to compute the variables.
Setting the unit analysis.
Merging the data files.
Choosing cases for analysts.
Summarizing the individuals’ variables.
Describing the relationships between the variables.
Creating the presentation ready tables covering customized tables.
Customizing the pivot tables.
Customizing and creating charts.
Functioning with the syntax.
Controlling the IBM statistics environment.

Who Should Attend This Course?

This learning is designed for data analysts having minimum experience in IBM SPSS.

Moreover, the target audience for this training are Business analysts and BFFs can also sign for this course.

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📘 IBM SPSS Statistics Essentials (v25) Outline

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

Overview of data sources
Read data from databases
Read data from Microsoft Excel
Define variable properties

Compute new variables
Recode values of nominal, ordinal, and scale variables
Create a numeric variable from a string variable
Explore advanced variable transformations

Use statistical functions
Use logical functions
Use missing value functions
Use conversion functions
Use system variables
Use the Data and Time Wizard

Remove duplicate cases
Create aggregated datasets
Restructure datasets

Add cases from one dataset to another
Add variables from one dataset to another
Enrich a dataset with aggregated information

Select case for an analysis
Run analyses for subgroups

Define levels of measurement
Summarizing categorical variables with Frequencies
Summarizing scale variables with Frequencies and Descriptives

Select the appropriate procedure to summarize the relationship between two variables
Summarize the relationship between categorical variables with Crosstabs
Summarize the relationship between a scale and a categorical variable with Means

Identify table layouts
Create tables for variables with shared categorical
Create tables for variables that represent a multiple response question

Perform Automated Output Modification
Customize pivot tables in the Pivot Table Editor
Use table templates
Export pivot tables to other applications

Use the Chart Builder to create various types of graphs
Customize charts in the Chart Editor
Use chart templates
Export pivot tables to other applications

Use syntax to automate analyses
Use the Syntax Editor environment
Create and edit syntax
Run syntax

Describe the features of the Options dialog box
Reset the display of variables
Set the default working data folders

Still have questions?

Reach out to our learning advisors for personalized guidance on choosing the right course, group training, or enterprise packages.

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