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Kursbeskrivning: Market Segmentation Using IBM SPSS Statistics SPVC

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Översikt

  • Målgrupp
  • Förkunskaper
  • Mål
  • Nyckelområden
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Kurskod 0K036SE Leveranstyp Self-paced Virtual Class
Kurslängd 1.0 dagar Kurstyp
Listpris SEK 5 625,00 exkl moms
SEK 7 031,25 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 "Market Segmentation Using IBM SPSS Statistics" classroom course. In this one-day self-paced training course you will focus on the statistical techniques most often used to support market segmentation. The course emphasizes the practical issues of setting up, running and interpreting the results of market segmentation analysis.

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Målgrupp

This intermediate course is for anyone who has worked with SPSS for Windows and is interested in knowing more about the appropriate procedures for market segmentation.

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Förkunskaper

You should have:

  • On the job experience with SPSS for Windows or completion of the Windows Basic and/or Intermediate courses.
  • Basic statistical knowledge or at least one college level course in statistics is helpful.

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Mål

Please refer to course overview.

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Nyckelområden

  • Segmentation and Classification Methods
  • Cluster Analysis: Principles
  • Cluster Analysis: Practice
  • Factor Analysis
  • Decision Trees
  • Decision Trees II: Chaid Analysis

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