IBM SPSS: Statistical Data Analysis Made Easy

Online Course

Udemy
IBM SPSS: Statistical Data Analysis Made Easy

What is the course about?

IBM SPSS: Statistical Data Analysis Made Easy
The course IBM SPSS: Statistical Data Analysis Made Easy is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

Learn how to perform statistical tests with IBM SPSS and interpret the results.

Course description
  • IBM SPSS: Statistical Data Analysis Made Easy
  • You would be able to create SPSS file, define variables, enter data, run descriptive statistics, create graphs, find out relationship between variables, test the linearity and normality of the data, run hypothesis testing and interpret the results. With this knowledge you can run data analysis in short time.
  • Download and install IBM SPSS on your computer / laptop to practice the lessons. Each lesson has .xlsx data file. You need to import this file into SPSS by directly opening it in SPSS editor.
  • 1.5 hours on-demand video
  • 33 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Rama Krishna Yelamanchili

Prerequisites & Facts

IBM SPSS: Statistical Data Analysis Made Easy

Course Topic

Business, Data Analytics, SPSS

University, College, Institution

Udemy

Course Skill Level

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

Degree & Cost

IBM SPSS: Statistical Data Analysis Made Easy

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Udemy
IBM SPSS: Statistical Data Analysis Made Easy
provided by Udemy

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School: Udemy
Topic: Business, Data Analytics, SPSS