Advanced Data Preparation Using IBM SPSS Modeler (V16) SPVC
Course
In London
Description
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Type
Course
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Location
London
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Start date
Different dates available
Advanced Data Preparation Using IBM SPSS Modeler (V16) SPVC Training CourseAdvanced 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.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.http://www.ibm.com/training/terms
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Subjects
- Web
Course programme
Using Functions
- Use date functions
- Use conversion functions
- Use string functions
- Use statistical functions
- Use missing value functions
Data Transformations
- Use the Filler node to replace values
- Use the Binning node to recode continuous fields
- Use the Transform node to change a field's distribution
Working with Sequence Data
- Use cross-record functions
- Use the Count mode in the Derive node
- Use the Restructure node to expand a continuous field into a series of continuous fields
- Use the Space-Time-Boxes node to work with geospatial and time data
Sampling Records
- Use the Sample node to draw simple and complex samples
- Draw complex samples
- Partition the data into a training and a testing set
- Reduce or boost the number of records
Improving Efficiency
- Use database scalability by SQL pushback
- Use the Data Audit node to process outliers and missing values
- Use the Set Globals node
- Use parameters
- Use looping and conditional execution
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Advanced Data Preparation Using IBM SPSS Modeler (V16) SPVC