|Course code||1WC52||Skill level||Advanced|
|Duration||16.0 hours||Delivery type||Web Based Training|
|Course type||Public only|
|Public price||USD $600.00 plus tax|
Note: This is a self-paced online course. This course usually requires 16 hours to complete. Once you receive your access information, you will have access to this course for 1 year.
Please do not make travel arrangements for this course. After you receive confirmation that you are enrolled, you will be sent further instructions to access the course materials.
This course is a subset of the course InfoSphere Warehouse 9 Components (DW352). It is designed to give an in-depth knowledge of the data mining and unstructured text analysis components of InfoSphere Warehouse. You will first be given a foundation in data mining. Then learn about the various types of data mining algorithms supported by InfoSphere Warehouses. Exercises will allow you to create mining flows that invoke the various mining algorithms. Much data resides in data warehouses in free-form text. Unstructured text analysis allows you to create dictionaries and extract relevant data from the text fields that can then be used to enhance a data mining run or to possibly add additional dimensions to a star schema. This course is is appropriate for those who are using InfoSphere Warehouse within the IBM Smart Analytics system and for those that are using IBM InfoSphere Warehouse independently.
The course materials address InfoSphere Warehouse 9.7.
Five labs are included to address InfoSphere Warehouse 9.7.
This course is part of an IBM Training Path. Taking this course in the recommended sequence allows you to maximize the benefits from your education.
This advanced course is for those who will be using the data mining and unstructured text analysis components of IBM InfoSphere Warehouse or IBM InfoSphere Warehouse on System z.
This course is also appropriate for customers who have acquired the IBM Smart Analytics System.
A Data Mining Foundation
An Introduction to InfoSphere Intelligent Miner
InfoSphere Intelligent Miner Supported Mining Techniques
Unstructured Text Analytics
The minimum hardware and software required to launch the course are:
Network Speed Test
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High-speed broadband internet access is the recommended configuration for this course.
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