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Course Outline

Statistical Analysis Using IBM SPSS Statistics (V26)

0K51BG

Cyber Retaliator Solutions
Course code
0K51BG
Level
Intermediate
Duration
2 days
IBM brand
Analytics
Category
Data, Analytics, and AI

Course overview

In this course you will learn how to visualize, describe, and test relationships between variables, using IBM SPSS Statistics (V26).

Contains: PDF course guide, as well as a lab environment where students can work through demonstrations and exercises at their own pace.

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, and 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 and how to apply them with confidence, interpret their output, and graphically display the results.

Who should attend

• IBM SPS Statistics users who want to familiarize themselves with the statistical capabilities of IBM SPSS Statistics Base. • Anyone who wants to refresh their knowledge and statistical experience.

Prerequisites

• Experience with IBM SPSS Statistics (version 18 or later), or • Completion of the IBM SPSS Statistics Essentials course

Delivery formats

  • Instructor-led online (virtual classroom)
  • Instructor-led on-site at your premises
  • Self-paced online training
  • Private/closed group delivery for corporate teams

Related and follow-on courses

Book this course

Cyber Retaliator Solutions is an IBM Authorized Training Delivery Partner, delivering the full IBM catalogue across Africa and North America. Contact us for dates, group rates, and private delivery options.

South Africa
+27 12 023 1959

USA
+1 512 947 9770

Email
info@cyberretaliatorsolutions.com

Full course page
retaliatornation.io/training/ibm/0k51bg