{"course":{"productid":19997,"modality":6,"active":true,"language":"de","title":"IBM SPSS Modeler Foundations (V18.2)","productcode":"0A069G","vendorcode":"IB","vendorname":"IBM","fullproductcode":"IB-0A069G","courseware":{"has_ekit":true,"has_printkit":false,"language":"en"},"url":"https:\/\/portal.flane.ch\/course\/ibm-0a069g","essentials":"<ul>\n\n\t<li>Knowledge of your business requirements<\/li><\/ul>","audience":"<ul>\n\n\t<li>Data scientists<\/li><li>Business analysts<\/li><li>Clients who are new to IBM SPSS Modeler or want to find out more about using it<\/li><\/ul>","contents":"<p>This course provides the foundations of using IBM SPSS Modeler and introduces the participant to data science. The principles and practice of data science are illustrated using the CRISP-DM methodology. The course provides training in the basics of how to import, explore, and prepare data with IBM SPSS Modeler v18.2, and introduces the student to modeling.<\/p>","outline":"<p>Introduction to IBM SPSS Modeler&bull; Introduction to data science&bull; Describe the CRISP-DM methodology&bull; Introduction to IBM SPSS Modeler&bull; Build models and apply them to new dataCollect initial data&bull; Describe field storage&bull; Describe field measurement level&bull; Import from various data formats&bull; Export to various data formatsUnderstand the data&bull; Audit the data&bull; Check for invalid values&bull; Take action for invalid values&bull; Define blanksSet the unit of analysis&bull; Remove duplicates&bull; Aggregate data&bull; Transform nominal fields into flags&bull; Restructure dataIntegrate data&bull; Append datasets&bull; Merge datasets&bull; Sample recordsTransform fields&bull; Use the Control Language for Expression Manipulation&bull; Derive fields&bull; Reclassify fields&bull; Bin fieldsFurther field transformations&bull; Use functions&bull; Replace field values&bull; Transform distributionsExamine relationships&bull; Examine the relationship between two categorical fields&bull; Examine the relationship between a categorical&nbsp; and continuous field&bull; Examine the relationship between two continuous fieldsIntroduction to modeling&bull; Describe modeling objectives&bull; Create supervised models&bull; Create segmentation modelsImprove efficiency&bull; Use database scalability by SQL pushback&bull; Process outliers and missing values with the Data Audit node&bull; Use the Set Globals node&bull; Use parameters&bull; Use looping and conditional execution<\/p>","essentials_plain":"- Knowledge of your business requirements","audience_plain":"- Data scientists\n- Business analysts\n- Clients who are new to IBM SPSS Modeler or want to find out more about using it","contents_plain":"This course provides the foundations of using IBM SPSS Modeler and introduces the participant to data science. The principles and practice of data science are illustrated using the CRISP-DM methodology. The course provides training in the basics of how to import, explore, and prepare data with IBM SPSS Modeler v18.2, and introduces the student to modeling.","outline_plain":"Introduction to IBM SPSS Modeler\u2022 Introduction to data science\u2022 Describe the CRISP-DM methodology\u2022 Introduction to IBM SPSS Modeler\u2022 Build models and apply them to new dataCollect initial data\u2022 Describe field storage\u2022 Describe field measurement level\u2022 Import from various data formats\u2022 Export to various data formatsUnderstand the data\u2022 Audit the data\u2022 Check for invalid values\u2022 Take action for invalid values\u2022 Define blanksSet the unit of analysis\u2022 Remove duplicates\u2022 Aggregate data\u2022 Transform nominal fields into flags\u2022 Restructure dataIntegrate data\u2022 Append datasets\u2022 Merge datasets\u2022 Sample recordsTransform fields\u2022 Use the Control Language for Expression Manipulation\u2022 Derive fields\u2022 Reclassify fields\u2022 Bin fieldsFurther field transformations\u2022 Use functions\u2022 Replace field values\u2022 Transform distributionsExamine relationships\u2022 Examine the relationship between two categorical fields\u2022 Examine the relationship between a categorical\u00a0 and continuous field\u2022 Examine the relationship between two continuous fieldsIntroduction to modeling\u2022 Describe modeling objectives\u2022 Create supervised models\u2022 Create segmentation modelsImprove efficiency\u2022 Use database scalability by SQL pushback\u2022 Process outliers and missing values with the Data Audit node\u2022 Use the Set Globals node\u2022 Use parameters\u2022 Use looping and conditional execution","skill_level":"Beginner","version":"1","duration":{"unit":"d","value":2,"formatted":"2 Tage"},"pricelist":{"List Price":{"FR":{"country":"FR","currency":"EUR","taxrate":19.6,"price":1500},"CH":{"country":"CH","currency":"CHF","taxrate":8.1,"price":1890}}},"lastchanged":"2025-07-29T12:17:56+02:00","parenturl":"https:\/\/portal.flane.ch\/swisscom\/json-courses","nexturl_course_schedule":"https:\/\/portal.flane.ch\/swisscom\/json-course-schedule\/19997","source_lang":"de","source":"https:\/\/portal.flane.ch\/swisscom\/json-course\/ibm-0a069g"}}