|Course code||1WC52||Skill level||Advanced|
|Duration||16.0 hours||Delivery type||Web Based Training|
|Course type||Public only|
|Public price||See Partner website|
THIS IS A WEB-BASED TRAINING CLASS. AFTER YOU START YOUR COURSE, YOU HAVE 30 DAYS TO COMPLETE THE COURSE.
Before you enroll, review the system requirements to ensure that your system meets the minimum requirements for this course. AFTER YOU ARE ENROLLED IN THIS COURSE, YOU WILL NOT BE ABLE TO CANCEL YOUR ENROLLMENT. You are billed for the course when you submit the enrollment form.
After you receive confirmation that you are enrolled, you will be sent further instructions to access your course material. A confirmation email will contain your online link, your ID and password, and additional instructions for starting the course.
You can start the course at any time within 12 months of enrolling for the course. After you register/start the course, you have 30 days to complete your course. Within this 30 days, the self-paced format gives you the opportunity to complete the course at your convenience, at any location, and at your own pace. The course is available 24 hours a day.
This course is a subset of the InfoSphere Warehouse 9 Components (DW352) course. It is designed to give the you 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 they will learn about the various types of data mining algorithms supported by InfoSphere Warehouses. Exercise demonstrations will allow you to view the creation of mining flows that invoke the various mining algorithms. Much data resides in data warehouses in free-form text. Unstructured text analysis allows you to learn how 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 appropriate for students who are using InfoSphere Warehouse within the IBM Smart Analytics system and for students that are using IBM InfoSphere Warehouse independently.
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
For example, a speed test against the server with a slow connection of 140 Kbps download and 28 Kbps upload took 14 minutes to load a 30min recording before the video began. Extrapolate from this result to estimate approximately how fast your network internet access would be.
High-speed broadband internet access is the recommended configuration for this course.
If you use a different character keyboard, you may experience errors when entering passwords. If possible, change your language/country settings for your keyboard to USA, which allows you to enter characters as in a QWERTY keyboard.