We are happy to advise you!
+49 40 253346-10     Contact

Online training in the virtual classroom
E-Learning offers and more

Find out more

Statistical Analysis Using IBM SPSS Statistics (V25) (0G51AG)

 

Who should attend

• Anyone who has worked with IBM SPSS Statistics and wants to become better versed in the basic statistical capabilities of IBM SPSS Statistics Base. • Anyone who wants to refresh their knowledge and statistical experience.

Prerequisites

  • Familiarity with basic concepts in statistics, such as measurement levels, mean, and standard deviation.
  • Familiarity with the windows in IBM SPSS Statistics either by experience with IBM SPSS Statistics (version 18 or later) or completion of the IBM SPSS Statistics Essentials (V25) course.

Course Content

This course provides an application-oriented introduction to the statistical component of IBM SPSS Statistics. Students will review several statistical techniques and discuss situations in which they would use each technique, how to set up the analysis, as well as how to interpret the results. This includes a broad range of techniques for exploring and summarizing data, as well as investigating and testing relationships. Students will gain an understanding of when and why to use these various techniques as well as how to apply them with confidence, interpret their output, and graphically display the results.

Online Training

Duration 2 days

Price (excl. tax)
  • 1,490.- €
Digital courseware

Courseware language: English

Classroom Training

Duration 2 days

Price (excl. tax)
  • Germany: 1,490.- €
incl. catering
Catering includes:

  • Coffee, Tea, Juice, Water, Soft drinks
  • Pastry and Sweets
  • Fresh fruits
  • Lunch in a nearby restaurant

* Catering information only valid for courses delivered by Fast Lane.


Digital courseware

Courseware language: English

 

Schedule

Germany

Currently no local training dates available.  For enquiries please write to info@flane.de.

Switzerland
21/09/2020 ― 22/09/2020 Geneva
26/10/2020 ― 27/10/2020 Zurich
23/11/2020 ― 24/11/2020 Basel
14/12/2020 ― 15/12/2020 Bern