IBM SPSS - Advanced: Programming in IBM SPSS (Syntax, Macros, Custom Dialogs and R programmability extensions)

Course description

Upon extending the university’s IBM SPSS site licence with additional modules this workshop aims to briefly introduce statistical methods which are covered by these new additions. The modules which will be introduced are: Decision Tree, Neural Networks, Data Preparation, Direct Marketing and Bootstrapping. Additionally, IBM SPSS Python and R programmability extensions will be also presented.

The details of the connection to the Web Conference will be emailed to enrolled participants a day before the course and again an hour before the event.

Type of course

Web conference

Presenters

Who should attend

Staff and Research Higher Degree Students

What you will learn

• Brief theoretical introductions to Neural Networks, Decision Trees and Bootstrapping
• Practical exercises using all of the five new modules.
• Capabilities that programmability extensions can bring about.

Prerequisites / assumed knowledge

Preferably participants should attend Introduction to SPSS and Introduction to Statistical Analysis (or have an understanding of concepts/skills covered in those two introductory courses) before enrolling in this workshop.