Advanced Statistical Analysis using IBM SPSS Statistics 0G09BG

Course Fee -  S$1,300.00 per pax Course duration: 2 days

  • 25-26 Feb 2025
09:30 am - 04:30 pm
600 North Bridge Road #12-05, Parkview Square, Singapore 188778

Course Description

This course provides an application-oriented introduction to advanced statistical methods available in IBM SPSS Statistics. Students will review a variety of advanced statistical techniques and discuss situations in which each technique would be used, the assumptions made by each method, how to set up the analysis, and how to interpret the results. This includes a broad range of techniques for predicting variables, as well as methods to cluster variables and cases.

Prerequisites

  • Experience with IBM SPSS Statistics (navigation through windows; using dialog boxes)
  • Knowledge of statistics, either by on the job experience, intermediate-level statistics oriented courses, or completion of the Basic/Introductory courses on IBM SPSS Statistics.
  • Trainees must bring their own internet-enabled laptop (Windows or macOS).

Target Audience

  • IBM SPS Statistics users who want to learn advanced statistical methods to be able to better answer research questions.
Register

Course Outline

Introduction to advanced statistical analysis

Group variables: Factor Analysis and Principal Components Analysis

Group similar cases: Cluster Analysis

Predict categorical targets with Nearest Neighbour Analysis

Predict categorical targets with Discriminant Analysis

Predict categorical targets with Logistic Regression

Predict categorical targets with Decision Trees

Introduction to Survival Analysis

Introduction to Linear Mixed Models

Introduction to Generalized Linear Models

Enquire / Register for this training course.

( Advanced Statistical Analysis using IBM SPSS Statistics )

    Contact Person’s Information

    Participant’s Information

    Pick a course date*

    Note: If you are registering only for yourself, enter your details for both 'Contact Person' and 'Participant'.