IBM SPSS Modeler Foundations (V18.2) TDS_0A069G

COURSE CONTENT:

Introduction to IBM SPSS Modeler • Introduction to data science • Describe the CRISP-DM methodology • Introduction to IBM SPSS Modeler • Build models and apply them to new dataCollect initial data • Describe field storage • Describe field measurement level • Import from various data formats • Export to various data formatsUnderstand the data • Audit the data • Check for invalid values • Take action for invalid values • Define blanksSet the unit of analysis • Remove duplicates • Aggregate data • Transform nominal fields into flags • Restructure dataIntegrate data • Append datasets • Merge datasets • Sample recordsTransform fields • Use the Control Language for Expression Manipulation • Derive fields • Reclassify fields • Bin fieldsFurther field transformations • Use functions • Replace field values • Transform distributionsExamine relationships • Examine the relationship between two categorical fields • Examine the relationship between a categorical  and continuous field • Examine the relationship between two continuous fieldsIntroduction to modeling • Describe modeling objectives • Create supervised models • Create segmentation modelsImprove efficiency • Use database scalability by SQL pushback • Process outliers and missing values with the Data Audit node • Use the Set Globals node • Use parameters • Use looping and conditional execution

TARGET AUDIENCE:

• • Data scientists
• • Business analysts
• • Clients who are new to IBM SPSS Modeler or want to find out more about using it

COURSE OBJECTIVE:

Please refer to course overview.

COURSE PREREQUISITES:

• • Knowledge of your business requirements

FOLLOW ON COURSES:

Not available. Please contact.