Översikt
| Kurskod | 0E002SE | Leveranstyp | Self-paced Virtual Class |
|---|---|---|---|
| Kurslängd | 3.0 dagar | Kurstyp | |
| Listpris |
SEK 13 050,00 exkl moms
SEK 16 312,50 inkl moms |
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 'Introduction to IBM SPSS Modeler and Data Mining' classroom course. This course will show you how to use IBM SPSS Modeler to automate the building of predictive models. The course will show you how to build predictive models for customer behavior and build customer segmentation using various cluster models. You will learn how to read data from various sources and automatically prepare data for modeling using a variety of methods. Scoring new data using the model will also be discussed.
Målgrupp
This basic course is for anyone with little or no experience using IBM SPSS Modeler (formerly Clementine) or with data mining in general.
Förkunskaper
You should have:
- General computer literacy.
It would be helpful if you had:
- an understanding of your organization's data, as well as any of your organization's business issues that are relevant to the use of data mining.
No statistical background is necessary.
Nyckelområden
- Introduction to data mining
- The CRISP-DM methodology
- Best practices for data mining
- The basics of using IBM SPSS Modeler
- Reading data files
- Working with dates
- Auditing and exploring data quality
- Searching for anomalous data and outliers
- Data manipulation
- Searching for relationships among fields
- Combining data files by appending and/or merging
- Restructuring data files with aggregate
- Sampling data
- Partitioning data for modeling
- Modeling techniques in IBM SPSS Modeler
- Automatic Modeling for Binary Outcomes
- Evaluating and comparing model performance
- Deploying and using models
- Running IBM SPSS Statistics commands from IBM SPSS Modeler
Hårdvarukrav
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)