This course 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.
This advanced course is intended for anyone who wishes to become familiar with the full range of techniques available in IBM SPSS Modeler for data manipulation.
Please refer to course overview
General computer literacy
Experience using IBM SPSS Modeler including familiarity with the Modeler environment, creating streams, reading data files, exploring data, setting the unit of analysis, combining datasets, deriving and reclassifying fields, and basic knowledge of modeling.
Prior completion of Introduction to IBM SPSS Modeler and Data Mining (v18) is recommended.
1: Using functions to cleanse and enrich data
Use date functions
Use conversion functions
Use string functions
Use statistical functions
Use missing value functions 2: Using additional field transformations
Replace values with the Filler node
Recode continuous fields with the Binning node
Change a field's distribution with the Transform node 3: Working with Sequence Data
Use cross-record functions
Count an event across records
Expand a continuous field into a series of continuous fields with the Restructure node
Use geospatial and time data with the Space-Time-Boxes node 4: Sampling, partitioning and balancing data
Draw simple and complex samples with the Sample node
Create a training set and testing set with the Partition node
Reduce or boost the number of records with the Balance node 5: Improving Efficiency
Use database scalability by SQL pushback
Process outliers and missing values with the Data Audit node
If you need training for 3 or more people, you should ask us about onsite training. Putting aside the obvious location benefit, content can be customised to better meet your business objectives and more can be covered than in a public classroom. It's a cost effective option.
Submit an enquiry from any page on this site, and let us know you are interested in the requirements box, or simply mention it when we contact you.