Knowledge of your business requirements<\/p>","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<\/p>","contents":"
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.<\/p>","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 <\/p>","essentials_plain":"Knowledge of your business requirements","audience_plain":"\u2022 New users of IBM SPSS Statistics\u00a0\u2022 Users who want to refresh their knowledge about IBM SPSS Statistics\u00a0\u2022 Anyone who is considering purchasing IBM SPSS Statistics","contents_plain":"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.","outline_plain":"Introduction to IBM SPSS Statistics\u00a0\u2022 Review basic concepts in IBM SPSS Statistics\u00a0\u2022 Identify the steps in the research process\u00a0\u2022 Review basic analyses\u00a0\u2022 Use Help\u00a0Reading data and defining metadata\u00a0\u2022 Overview of data sources\u00a0\u2022 Read from text files\u00a0\u2022 Read data from Microsoft Excel\u00a0\u2022 Read data from databases\u00a0\u2022 Define variable properties\u00a0Selecting cases for analyses\u00a0\u2022 Select cases for analyses\u00a0\u2022 Run analyses for groups\u00a0\u2022 Apply report authoring styles\u00a0Transforming variables\u00a0\u2022 Compute variables\u00a0\u2022 Recode values of categorical and scale variables\u00a0\u2022 Create a numeric variable from a string variable\u00a0Using functions to transform variables\u00a0\u2022 Use statistical functions\u00a0\u2022 Use logical functions\u00a0\u2022 Use missing value functions\u00a0\u2022 Use conversion functions\u00a0\u2022 Use system variables\u00a0\u2022 Use the Date and Time Wizard\u00a0Setting the unit of analysis\u00a0\u2022 Remove duplicate cases\u00a0\u2022 Create aggregate datasets\u00a0\u2022 Restructure datasets\u00a0Merging data files\u00a0\u2022 Add cases from one dataset to another\u00a0\u2022 Add variables from one dataset to another\u00a0\u2022 Enrich a dataset with aggregated information\u00a0Summarizing individual variables\u00a0\u2022 Define levels of measurement\u00a0\u2022 Summarizing categorical variables\u00a0\u2022 Summarizing scale variables\u00a0Describing the relationship between variables\u00a0\u2022 Choose the appropriate procedure\u00a0\u2022 Summarize the relationship between categorical variables\u00a0\u2022 Summarize the relationship between a scale and a categorical variable\u00a0Creating presentation-ready tables with Custom Tables\u00a0\u2022 Identify table layouts\u00a0\u2022 Create tables for variables with shared categories\u00a0\u2022 Create tables for multiple response questions\u00a0Customizing pivot tables\u00a0\u2022 Perform Automated Output Modification\u00a0\u2022 Customize pivot tables\u00a0\u2022 Use table templates\u00a0\u2022 Export pivot tables to other applications\u00a0Working with syntax\u00a0\u2022 Use syntax to automate analyses\u00a0\u2022 Create, edit, and run syntax\u00a0\u2022 Shortcuts in the Syntax Editor\u00a0Controlling the IBM SPSS Statistics environment\u00a0\u2022 Set options for output\u00a0\u2022 Set options for variables display\u00a0\u2022 Set options for default working folders\u00a0","skill_level":"Intermediate","version":"1","duration":{"unit":"d","value":2,"formatted":"2 days"},"pricelist":{"List Price":{"AR":{"country":"AR","currency":"USD","taxrate":21,"price":1220},"BR":{"country":"BR","currency":"USD","taxrate":null,"price":1220},"CL":{"country":"CL","currency":"USD","taxrate":19,"price":1220},"CO":{"country":"CO","currency":"USD","taxrate":16,"price":1220},"MX":{"country":"MX","currency":"USD","taxrate":null,"price":1220},"PE":{"country":"PE","currency":"USD","taxrate":null,"price":1220},"CH":{"country":"CH","currency":"CHF","taxrate":8.1,"price":1800}}},"lastchanged":"2026-03-12T14:19:28+01:00","parenturl":"https:\/\/portal.flane.ch\/swisscom\/en\/json-courses","nexturl_course_schedule":"https:\/\/portal.flane.ch\/swisscom\/en\/json-course-schedule\/21113","source_lang":"en","source":"https:\/\/portal.flane.ch\/swisscom\/en\/json-course\/ibm-0g53bg"}}