Description
At Sixe Engineering we have been providing official IBM training around the world for over 12 years. Get the best training from our specialists in Europe. We have important discounts and offers for two or more students.
Course details
| IBM course code: 0G53AG | Category: SPSS / SPSS Statistics |
| Delivery: Online & on-site** | Course length in days: 2 |
Target audience
• 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.
Desired Prerequisites:
• 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.
Instructors
The great majority of the IBM courses we offer are taught directly by our engineers. This is the only way we can guarantee the highest quality. We complement all the training with our own materials and laboratories, based on our experience during the deployments, migrations and courses that we have carried out during all these years.
Added value
Our courses are deeply role oriented. To give an example, the needs for technology mastery are different for developer teams and for the people in charge of deploying and managing the underlying infrastructure. The level of previous experience is also important and we take it very seriously. That is why beyond (boring) commands and tasks, we focus on solving the problems that arise in the day to day of each team. Providing them with the knowledge, competencies and skills required for each project. In addition, our documentation is based on the latest version of each product.
Agenda and course syllabus
Introduction to IBM SPSS Statistics
• Review basic concepts in IBM SPSS Statistics
• Identify the steps in the research process
• Review basic analyses
• Use Help
Read data and define metadata
• Overview of data sources
• Read data from databases
• Read data from Microsoft Excel
• Define variable properties
Transform variables
• Compute new variables
• Recode values of nominal, ordinal, and scale variables
• Create a numeric variable from a string variable
• Explore advanced variable transformations
Use functions to compute variables
• Use statistical functions
• Use logical functions
• Use missing value functions
• Use conversion functions
• Use system variables
• Use the Data and Time Wizard
Set the unit of analysis
• Remove duplicate cases
• Create aggregated datasets
• Restructure datasets
Merge data files
• Add cases from one dataset to another
• Add variables from one dataset to another
• Enrich a dataset with aggregated information
Select cases for analyses
• Select case for an analysis
• Run analyses for subgroups
Summarize individual variables
• Define levels of measurement
• Summarizing categorical variables with Frequencies
• Summarizing scale variables with Frequencies and Descriptives
Describe relationship between variables
• 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
Create presentation-ready tables with Custom Tables
• Identify table layouts
• Create tables for variables with shared categorical
• Create tables for variables that represent a multiple response question
Customize pivot tables
• Perform Automated Output Modification
• Customize pivot tables in the Pivot Table Editor
• Use table templates
• Export pivot tables to other applications
Create and customize charts
• 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
Work with syntax
• Use syntax to automate analyses
• Use the Syntax Editor environment
• Create and edit syntax
• Run syntax
Control the IBM SPSS Statistics environment
• Describe the features of the Options dialog box
• Reset the display of variables
• Set the default working data folders
Do you need to adapt this syllabus to your needs? Are you interested in other courses? Ask us without obligation.
Locations for on-site delivery
- Austria: Vienna
- Belgium: Brussels, Ghent
- Denmark: Cophenhagen
- Estonia: Tallinn
- Finland: Helsinki
- France: Paris, Marseille, Lyon
- Germany: Berlin, Munich, Cologne, Hamburg
- Greece: Athens, Thessaloniki
- Italy: Rome
- Louxemburg: Louxembourg (city)
- Netherlands: Amsterdam
- Norway: Oslo
- Portugal: Lisbon, Braga, Porto, Coimbra
- Slovakia: Bratislava
- Slovenia: Bratislava
- Spain: Madrid, Sevilla, Valencia, Barcelona, Bilbao, Málaga
- Sweden: Stockholm
- Turkey: Ankara
- United Kingdom: London
