University Training

The following courses are offered individually or combined as a package to university students. They are provided on-site at your university for your greatest convenience.

Putting Statistics into Practice
Formerly "Statistics for Dummies"

Duration

3 days


Target Audience

Anyone who requires further knowledge on statistical analysis


Prerequisites

None 


Overview

The purpose of this course is to give you an understanding on the most commonly used statistical techniques. The aim of the course is to explain these statistical techniques by using practical examples. The theory and results will be explained with the objective that you will be able to apply what you have learnt in your working environment.


Course Content
  • Vital statistics about statistics
  • Introduction to Statistical Analysis
  • Describing categorical variables
  • Exploratory data analysis: scale data
  • Probability and inferencial statistics
  • Estimating with confidence
  • Putting a claim to the (hypothesis) test
  • Bivariate plots and correlations: Scale variables
  • Comparing categorical variables
  • Mean differences between groups: t-test
  • Introduction to regression
  • Mean difference between groups: one-factor ANOVA
Introduction to SPSS (Basics)
Duration

2 days


Target Audience

Anyone with little or no experience in using IBM® SPSS® Statistics who wishes to become an efficient and productive IBM® SPSS® Statistics user.


Prerequisites

Keyboard and mouse skills. Experience of working in the Windows environment. 


Overview

The course logically guides you through the fundamentals of using IBM® SPSS® Statistics and is structured so as to provide effective training in the 4 stages of a typical data analysis process, namely data definition and input, data modification, data analysis and data presentation.


Course Content
  • Introducing IBM® SPSS® Statistics
  • Defining, entering and editing data in IBM® SPSS® Statistics
  • Using the data viewer
  • Opening data files
  • Central tendency and dispersion
  • Summarising data
  • The output viewer
  • Modifying data values
  • Describing relationships between variables
  • Manipulating files
  • Improving output
  • Editing charts
Data Management & Manipulation (Intermediate)
Duration

2 days


Target Audience

This course is a natural follow-on to the Introduction to SPSS (Basics) and Introduction to SPSS & Statistics courses and is designed for anyone wishing to become more competent with the full range of file and data manipulation options, and generally increase their efficiency with IBM® SPSS® Statistics.


Prerequisites

You must be computer literate, have a sound working knowledge of IBM® SPSS® Statistics and be familiar with the topics covered on the Introduction to SPSS (Basics) course. You must also be familiar with variable definition, use of the data dictionary, setting up dates, generating basic exploratory statistics, using the compute and recode procedures and editing and saving output. These techniques must have been used in a recent version of IBM® SPSS® Statistics.


Overview

The course provides detailed training in the use of a wide range of file and data management techniques. The knowledge and competence gained will enable you to suitably manage your data files to achieve the desired data structures. Advice on optimising efficiency in everyday operations is provided and you will gain an understanding of the various options for operating IBM® SPSS® Statistics. Through an understanding of the command syntax, you will be able to efficiently manage and modify your data. 


Course Content
  • Automating IBM® SPSS® Statistics using syntax and Production Mode
  • Further data transformations: Automatic Recode, Count, conditional transformations
  • Using Numeric Functions
  • Using System Variables
  • Computing Date, Time, and String variables
  • Helpful Data Management Features: Identify duplicate cases, Custom Attributes, Variable Sets
  • Aggregating Data
  • Merging Files - Adding cases
  • Merging Files - Adding variables
  • Editing Charts and Pivot Tables
  • Deploying SPSS results
  • Controlling the IBM® SPSS® Statistics environment
  • Appendix A: Optimal Binning using IBM® SPSS® Data Preparation