Training Courses are offered in the following modes.

Classroom based teaching. This is traditional classroom-based teaching where lessons are held at a set time and place, and you follow classes with other students. The Instructor leads the class, motivating and guiding the students, with slides and hands on labs whilst establishing a friendly and safe learning environment ideal for getting certified ready and gaining practical experience.

Training Courses Available

Introduction to Machine Learning Models Using IBM SPSS Modeler (V18.2) – 0A079G CR

This course provides an introduction to supervised models, unsupervised models, and association models. This is an application-oriented course and examples include predicting whether customers cancel their subscription, predicting property values,

IBM SPSS Modeler Foundations (V18.2) – 0A069G CR

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.

Advanced Data Preparation Using IBM SPSS Modeler (v18.1.1) – 0A058G CR

This course covers advanced topics to aid in the preparation of data for a successful data science project. You will learn how to use functions, deal with missing values, use

Clustering and Association Modeling Using IBM SPSS Modeler (v18.1.1) – 0A048G CR

Clustering and Association Modeling Using IBM SPSS Modeler (v18.1.1) introduces modelers to two specific classes of modeling that are available in IBM SPSS Modeler: clustering and associations. Participants will explore

Data science without a Ph.D. Using IBM SPSS Modeler (v18.1.1) – 0A018G CR

This course focuses on reviewing concepts of data science, where participants will learn the stages of a data science project. Topics include using automated tools to prepare data for analysis,

Introduction to IBM SPSS Modeler and Data Science (v18.1.1) – 0A008G CR

This course provides the fundamentals 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.

Introduction to IBM SPSS Collaboration and Deployment Services (v8) SPVC – 0W006G SPVC

This course is an intermediate course designed to teach Collaboration and Deployment users object and asset management, security, shared resource usage, automation, and interaction with IBM SPSS Modeler Gold. Students

Introduction to IBM SPSS Collaboration and Deployment Services (v8) – 0S006G CR

This course is an intermediate course designed to teach Collaboration and Deployment users object and asset management, security, shared resource usage, automation, and interaction with IBM SPSS Modeler Gold. Students

IBM SPSS Statistics Essentials (V26) – SPVC – 0K53BG SPVC

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,

IBM SPSS Statistics Essentials (V25) SPVC – 0K53AG SPVC

his course guides students through the fundamentals of using IBM SPSS Statistics for typical data analysis process. Students will learn the basics of reading data, data definition, data modification, and

Statistical Analysis Using IBM SPSS Statistics (V26) SPVC – 0K51BG SPVC

This course provides an application-oriented introduction to the statistical component of IBM SPSS Statistics. Students will review several statistical techniques and discuss situations in which they would use each technique,

Statistical Analysis Using IBM SPSS Statistics (V25) SPVC – 0K51AG SPVC

This course provides an application-oriented introduction to the statistical component of IBM SPSS Statistics. Students will review several statistical techniques and discuss situations in which they would use each technique,

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