Test BAS-010: IBM SPSS Modeler Professional v2

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Learning resources (courses, product documentation, etc.) are offered to help you prepare for certification. The learning resources are highly recommended but not mandatory prior to taking the certification exam.

Classroom Course

Course title: Introduction to IBM SPSS Modeler and Data Mining
Course duration: 3 days
Course number: 0A002
Abstract: This course provides an overview of data mining and the fundamentals of using IBM SPSS Modeler. Using the CRISP-DM methodology, the principles and practice of data mining are illustrated. The course structure follows the stages of a typical data mining project, from reading data, to data exploration, data transformation, modeling, and effective interpretation of results. The course provides training in the basics of how to read, explore, and manipulate data with IBM SPSS Modeler, and then create and use successful models.

Course title: Predictive Modeling with IBM SPSS Modeler
Course duration: 3 days
Course number: 0A032
Alternative Option - Instructor-Led Online Course: Predictive Modeling with IBM SPSS Modeler - ILO
Abstract: This course demonstrates how to develop models to predict categorical and continuous outcomes, using such techniques as neural networks, decision trees, logistic regression, support vector machines, and Bayesian network models. Use of the binary classifier and numeric predictor nodes to automate model selection is included. Feature selection and detection of outliers are discussed. Expert options for each modeling node are reviewed in detail and advice is provided on when and how to use each model. You will also learn how to combine two or more models to improve prediction. Independent Study Only: Syllabus is provided for each week's study and materials are completed privately by each participant. 1 time per week students will meet on-line to review course exercises with a Live Instructor.

Course title: Clustering and Association Models with IBM SPSS Modeler - ILT
Course duration: 1 day
Course number: 0A042
Alternative Option - Instructor-Led Online Course: Clustering and Association Models with IBM SPSS Modeler - ILO
Abstract: This course demonstrates how to segment or cluster data with all the clustering techniques available in IBM SPSS Modeler. The course also provides examples of creating association models to find rules describing the relationships among a set of items, and of creating sequence models to find rules describing the relationships over time among a set of items.

Course title: Advanced Data Preparation with IBM SPSS Modeler
Course duration: 1 day
Course number: 0A052
Alternative Option - Instructor-Led Online Course: Advanced Data Preparation with IBM SPSS Modeler - ILO
Abstract: In this course, you will examine additional topics to aid in the preparation of data for a successful data mining project. You will learn how to partition records from files, handle missing data, modify fields and create new fields, and work with dates, strings and sequence data.

Self-Paced Virtual Classroom

Introduction to IBM SPSS Modeler and Data Mining SPVC

This is the self-paced online version of the classroom course and includes hands-on remote labs. The average amount of time to complete this course is 3 days. Once you receive your access information, you will have 30 days to complete this course and its labs.

Predictive Modeling with IBM SPSS Modeler SPVC

Clustering and Association Models with IBM SPSS Modeler SPVC

This is the self-paced online version of the classroom course and includes hands-on remote labs. The average amount of time to complete this course is 1 day. Once you receive your access information, you will have 30 days to complete this course and its labs.

Advanced Data Preparation with IBM SPSS Modeler SPVC

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