SPSS 3: Introduction to Statistical Techniques to Explore Relationships Between Variables
This session is for participants who have completed an introductory SPSS session or have equivalent knowledge.
Excel Fu for Researchers
Learn how to use Excel to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data.
SPSS 2: Introduction to Statistical Techniques to Compare Groups
This SPSS session is for participants who have completed the introductory SPSS 1 session or have equivalent knowledge.
SPSS 1: Introduction
This SPSS session is for beginners and introduces the basics of SPSS software and quantitative data analysis.
Statistics in research
This 2 day course is a practical, hands-on workshop aimed at novice researchers, research students, teaching/research staff and clinicians with a research interest. Day 1 introduces basic research methods and statistics. Day 2 extends on the methods and statistics covered on the first day.
Participants are encouraged to bring and share their own research or case studies to make this learning relevant.
Software carpentry with R
R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework. However, getting started with R can be challenging, particularly if you've never programmed before. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation.
Learn programming concepts and techniques; basic syntax, control structures and data types in R; how to load external data into R; ways to visualise data and best practices for writing code in R.