- Référence : 0G53AG
- Durée : 2 jours (14h)
- Lieu : Au choix. À distance ou en présentiel, à Paris ou en Régions
1490€ HT
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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.
Upon completion this course, you will be able to :
Public :
Anyone with little or no experience in using IBM SPSS Statistics.
Anyone who is new to using a statistical package for data analysis.
Anyone who is considering purchasing IBM SPSS Statistics.
Prérequis :
Experience with IBM SPSS Statistics is not necessary, though a basic understanding of purpose and functions of the software is helpful. No statistical background is necessary.
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
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