SPSS Statistics Courses

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Advanced Statistics Seminar Series using IBM SPSS Statistics

The Advanced Statistics Seminar Series using IBM SPSS Statistics is a collection of seminars that allow students to explore different topics within the realm of advanced statistical techniques. Topics are covered over the web in a three-hour, instructor led seminar in which students will gain an understanding of the situations in which one would use a technique, its assumptions, how to setup the analysis, as well as how to interpret the results.  In addition, there will be a one hour question and answer follow-up session to address any additional student questions or concerns. 

Examples of past and future seminar topics include:

  • Classification Trees
  • Factor Analysis
  • Cluster Analysis
  • Logistic Regression
  • Dummy Coding and Interactions in Regression
  • Path Analysis
QueBIT IBM SPSS Statistics Training Brochure 

Seminars are held monthly, and led by our experts. The seminars are live, however they will be recorded.  These recordings will be made available to students for 90 days following the seminar to allow for additional practice. Seminars may be purchased individually or you can purchase an annual subscription for a substantial discount.  The twelve month subscription also has the additional benefits of having unlimited access to the recorded video content, as well as a forum just for subscribers.

 IBM SPSS Statistics Instructor-Led Online Courses

QueBIT’s IBM SPSS Statistics Instructor-Led Online Courses introduce students to different techniques available within IBM SPSS Statistics.  Our courses are organized by topic areas.  We recommend beginning with the course IBM SPSS Statistics: The Fundamentals that teaches students the basics of using IBM SPSS Statistics, however you can choose the course that is right for you. 

All of our courses are delivered online over a five day period, with each day consisting of a three-hour web session. These courses are live and led by our experts. Courses may be purchased individually. 

 

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