Predictive Analytics with IBM SPSS

Instructor

Linda Benjamin

Miss

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Overview

Welcome 

Hi.

Welcome to Predictive Analytics with IBM SPSS Statistics Course.

This course is designed to help you learn how to analyze and interpret data with basic and advanced statistical techniques. We have found that the programme makes IBM SPSS Statistics for Windows easy to use so that it is not necessary to have a formal, instructional data lab; you should be able to learn how to use IBM SPSS Statistics on your own in this programme. Access to the IBM SPSS Statistics program and some familiarity with Windows is all that is required.

 

Course Instruction

Whatever you do, please have fun. Enjoy the journey.

Seriously, this course will require some dedication on your part. It is likely to consume a significant portion of your time. We have quite a chunk of concepts packed into the course, and the learning process will include working through hands-on exercises. 

We advice you do not procrastinate working through the notes and exercises once they are uploaded. Do the work as soon as you can in order to avoid backlogs.

Please feel free provide feedback, ask questions, or lodge a complaint at any point during the course. You will surely be listened to.

Again, have fun.

 

BROAD CONTENTS

  • A FIRST LOOK AT IBM SPSS STATISTICS
  • READING DATA FILES
  • USING THE DATA EDITOR
  • EXAMINING SUMMARY STATISTICS FOR INDIVIDUAL VARIABLES
  • THE MEANS PROCEDURE
  • T-TESTS
  • ONE-WAY ANALYSIS OF VARIANCE
  • GLM UNIVARIATE MODEL
  • BIVARIATE CORRELATIONS
  • PARTIAL CORRELATIONS
  • LINEAR REGRESSION
  • TWO STEP CLUSTER ANALYSIS
  • HIERARCHICAL CLUSTER ANALYSIS
  • NONPARAMETRIC TESTS
  • LIFE TABLES
  • KAPLAN-MEIER SURVIVAL ANALYSIS

 

Resources

You will need IBM SPSS Statistics software for this course.

 

Assessment

Your performance in this course will be assessed through a number of exercises. Instructions and submission guidelines will be released for each at different points in the course.

Welcome once again.

Yours sincerely,

Linda Benjamin & Sandra Ikeri

support@data-ville.com

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