Kurs informasjon: Advanced Data Preparation with IBM SPSS Modeler SPVC

PLEASE DO NOT MAKE TRAVEL ARRANGEMENT FOR THIS SELF PACED VIRTUAL COURSE (SPVC). ONCE YOU ARE ENROLLED IN THIS COURSE, YOU WILL NOT BE ABLE TO CANCEL YOUR ENROLLMENT.

After you receive confirmation that you are enrolled, you will be sent further instructions to access your course material and remote labs. You will then have a 30 day window in which to complete your course. Within this 30 days, you will have 336 hours of elab time. 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, but lab system access is allocated on a first-come, first-served basis. When you are not using the elab system, ensure that you suspend your elab to maximize your hours available to use the elab system. Once you have accessed the course, help is available Monday through Friday; questions will be responded to within 24 hours.

NO EXTENSIONS FOR THIS COURSE WILL BE GRANTED.

This is the self paced training version of "Advanced Data Preparation with IBM SPSS Modeler" classroom course. In this course, youll examine additional topics to aid in the preparation of data for a successful data mining project. You'll learn how to partition records from files, handle missing data, modify fields and create new fields, and work with dates, strings and sequence data.

View this course in other countries

Til top

This follow-up course to Introduction to IBM SPSS Modeler and Data Mining is designed for anyone who wishes to become familiar with the full range of techniques available in IBM SPSS Modeler for data and file manipulation.

Til top

You should have:

• General computer literacy.
• Some experience using IBM SPSS Modeler (formerly Clementine) including familiarity with the IBM SPSS environment, creating streams, reading data files, and doing simple data exploration and manipulation.
• Prior completion of Introduction to IBM SPSS Modeler and Data Mining is strongly encouraged.

Til top

Please refer to course overview for description information.

Til top

• Sampling Data
• Working with Dates
• Data transformations on continuous fields
• Working with string data
• Working with sequence data
• Writing out data files
• Efficiency in IBM SPSS Modeler
• Database Joins with IBM SPSS Modeler
• Statistics transform node

Til top

Minimum Requirements (for PC) to use SPVC

• Windows 2000, XP, Vista, and 7
• Firefox, including v3.6.6
• Internet Explorer, including v8
• browser settings include:
  • Java Runtime Environment must be installed and enabled in the web browser
  • Web browser must be set to enable/allow JavaScript
  • Web browser Pop-up blocking mechanisms must be set to allow pop-ups from elearn.ihost.com
  • Cookies must be enabled
  • Flash-enabled
  • ActiveX-enabled
• CITRIX, for the remote lab (instructions to install included with the SPVC)

Til top