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) SPVC – 0E079G SPVC

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) SPVC – 0E069G SPVC

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) SPVC – 0E058G SPVC

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) SPVC – 0E048G SPVC

Clustering and Association Modeling Using IBM SPSS Modeler (v18.1) introduces modelers to two specific classes of modeling that are available in IBM SPSS Modeler: clustering and associations. Participants will explore

Advanced Machine Learning Models Using IBM SPSS Modeler (V18.2) SPVC – 0E039G SPVC

This course presents advanced models available in IBM SPSS Modeler. The participant is first introduced to a technique named PCA/Factor, to reduce the number of fields to a number of

Advanced Predictive Modeling Using IBM SPSS Modeler (v18.1.1) SPVC – 0E038G SPVC

This course presents advanced models to predict categorical and continuous targets. Before reviewing the models, data preparation issues are addressed such as partitioning, detecting anomalies, and balancing data. The participant

Introduction to Time Series Analysis Using IBM SPSS Modeler (v18.1.1) SPVC – 0E028G SPVC

This course gets you up and running with a set of procedures for analyzing time series data.  Learn how to forecast using a variety of models, including regression, exponential smoothing,

Data Science without a Ph.D. Using IBM SPSS Modeler (v18.1.1) SPVC – 0E018G SPVC

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) SPVC – 0E008G SPVC

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 Modeler Text Analytics (v18.1.1) – 0A108G CR

This course (formerly: Introduction to IBM SPSS Text Analytics for IBM SPSS Modeler (v18)) teaches you how to analyze text data using IBM SPSS Modeler Text Analytics. You will be

Predictive Modeling for Continuous Targets Using IBM SPSS Modeler (v18.1.1) – 0A0V8G CR

This course provides an overview of how to use IBM SPSS Modeler to predict a target field that describes numeric values. Students will be exposed to rule induction models such

Predictive Modeling for Categorical Targets Using IBM SPSS Modeler (v18.1.1) – 0A0U8G CR

This course focuses on using analytical models to predict a categorical field, such as churn, fraud, response to a mailing, pass/fail exams, and machine break-down. Students are introduced to decision

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