Introduction to IBM SPSS Modeler and Data Mining (V15) SPVC
This course is intended for:
- Anyone with little or no experience in using IBM SPSS Modeler
- Anyone with little or no experience in data mining
- Anyone who is considering purchasing IBM SPSS Modeler
Students should have:
- General computer literacy
- No statistical background (necessary)
It would be helpful if you have an understanding of your organizations data, as well as any of your organizations business issues that are relevant to the use of data mining.
This is the self paced training version of Introduction to IBM SPSS Modeler and Data Mining classroom course. Introduction to IBM SPSS Modeler and Data Mining is a two day self-paced training basic 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 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.
If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.
Preis (exkl. MwSt.)