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IBM Professional Certification Program

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Test C2020-010:


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: Classifying Customers Using IBM SPSS Modeler (V15)

Course duration: 1 day

Course number: 0A0U4

Abstract: Classifying Customers Using IBM SPSS Modeler (V15) is a one day, instructor-led course, intermediate level course that provides an overview of how to use Modeler to predict the category to which a customer belongs based on selected data. Some examples include: whether a customer switches to another provider or brand, whether a customer responds to a particular advertising campaign, or how well a student will perform in a specific academic setting.


Course title: Introduction to IBM SPSS Modeler and Data Mining (V16)

Course duration: 2 days

Course number: 0A005G

Abstract: Introduction to IBM SPSS Modeler and Data Mining (V16) is a two day course, that provides an overview of data mining and the fundamentals of using IBM SPSS Modeler. The principles and practice of data mining are illustrated using the CRISP-DM methodology. The course structure follows the stages of a typical data mining project, from collecting data, to data exploration, data transformation, and modeling to effective interpretation of the results. The course provides training in the basics of how to read, prepare, and explore data with IBM SPSS Modeler, and introduces the student to modeling.


Course title: Clustering and Association Models Using IBM SPSS Modeler (v16)

Course duration:

Course number: 0A045G

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 Using IBM SPSS Modeler (V16)

Course duration: 1 day

Course number: 0A055G

Abstract: Advanced Data Preparation Using IBM SPSS Modeler (V16) covers advanced topics to aid in the preparation of data for a successful data mining project. You will learn how to use functions, deal with missing values, use advanced field operations, handle sequence data, apply advanced sampling methods, and improve efficiency.


Course title: Predicting Continuous Targets Using IBM SPSS Modeler (V15)

Course duration: 1 day

Course number: 0A0V4

Abstract: Predicting Continuous Targets Using IBM SPSS Modeler is a one day, instructor-led course, intermediate level course that provides an overview of how to use Modeler to predict a target field that describes numeric values. Some examples include: predicting the length of subscription (for newspapers, telecommunication), predicting claim amount (insurance), predicting donation amount (charity), predicting revenues (sales).


References

Although it is used as an analysis technique in its own right, this chapter discusses principal components primarily as a data reduction technique in support of statistical predictive modeling (for example, regression or logistic regression).

Preparing data for modeling can be a lengthy but essential and extremely worthwhile task. If data are not cleaned and modified/transformed as necessary, it is doubtful that the models you build will be successful. In this chapter a number of techniques that enable such data preparation are introduced.


Self-Paced Virtual Classroom

Introduction to IBM SPSS Modeler and Data Mining (V16) is a two day course that provides an overview of data mining and the fundamentals of using IBM SPSS Modeler. The principles and practice of data mining are illustrated using the CRISP-DM methodology. The course structure follows the stages of a typical data mining project, from collecting data, to data exploration, data transformation, and modeling to effective interpretation of the results. The course provides training in the basics of how to read, prepare, and explore data with IBM SPSS Modeler, and introduces the student to modeling.

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

Predicting Continuous Targets Using IBM SPSS Modeler is a one day, self-paced, intermediate level course that provides an overview of how to use Modeler to predict a target field that describes numeric values. Some examples include: predicting the length of subscription (for newspapers, telecommunication), predicting claim amount (insurance), predicting donation amount (charity), predicting revenues (sales).

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.

This is the self paced training version of "Advanced Data Preparation with IBM SPSS Modeler" classroom course. In this course, you'll examine additional topics to aid in the preparation of data for a successful data mining project. You'll learn how to partition records from files, handle missing data, modify fields and create new fields, and work with dates, strings and sequence data.


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