IBM SPSS Modeler Essentials

Effective techniques for data exploration,data preparation and modeling.

What You Will Learn

• Learn about data mining and the CRISP-DM process model
• Become familiar with the IBM SPSS Modeler User Interface
• Import data into the Modeler and assess data quality
• Select the appropriate data and combine data files
• Develop models and learn how to interpret results
• Evaluate your data models efficiently
• Deploy data models to production

Audience

If you want to take more control over your data mining process using IBM SPSS Modeler, this video is for you. Some familiarity with modeling and text mining will be helpful but is not essential for this course.

About The Authors

Jesus Salcedo: Jesus Salcedo has a PhD in psychometrics from Fordham University. He is an independent statistical consultant and has been using SPSS products for over 20 years. He is a former SPSS Curriculum Team Lead and Senior Education Specialist who has written numerous SPSS training courses and trained thousands of users.

Keith McCormick: Keith McCormick is an independent data miner, trainer, conference speaker, and author. He has been using statistics software tools since the early 90s, and has been conducting training since 1997. He has been data mining and using IBM SPSS Modeler since its arrival in North America in the late 90s. He is also an expert in other packages, IBM's SPSS software suite, including IBM SPSS Statistics, AMOS, and Text Mining. He blogs and reviews related books as well.