Training

Each year training workshops will be developed in collaboration with the Graduate Research School’s RED team program. Training will include experimental design, quantitative methods and statistical analysis.

Please check the RED program for other courses.

2018 and 2019 Sessions
DateSession titleCampusBooking
Open

Statistical Analysis Using SPSS

A one hour introductory tutorial which guides users through the basics of SPSS.

OnlineAccess here
November 19

Software Carpentry - Introduction to 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. Getting started with R can be challenging, particularly if you've never programmed before. That's where this introductory course comes in.

Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation (software-carpentry.org).

Application is by expression of interest.

BundooraApply here
November 29

Intermediate to Advanced Programming in R

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 (https://software-carpentry.org/)

You will learn:

- Advanced programming concepts and techniques in R.
- Dataframe manipulation in R using the dplyr and tidyr packages.
- Visualisation in R using the ggplot2 package.
- Best practices for writing code in R using RStudio.

Application is by expression of interest.

BundooraApply here
November 30

Intermediate to Advanced Programming in Python

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 (https://software-carpentry.org/)

You will learn:

- Advanced programming concepts and techniques in Python.
- Dataframes in Python using the Pandas library.
- Visualisation in Python using the Seaborn and the Matplotlib libraries.
- How to blend code, output and documentation with Jupyter notebooks

Application is by expression of interest.

BundooraApply here
December 14

G*Power Workshop: Sample size analysis for researchers

G*Power is a free statistical software package for power and sample size analysis. It offers point-and-click functionality and covers a wide variety of statistical tests.

Presented by the Statistics Consultancy Platform, this full day G*Power workshop includes concepts of statistical power and relevant statistical tests presented in a non-technical way. Designed to be hands-on, the workshop focuses on the practical application of statistical methods.

Bundoora

Book here

February 20-21, 2019

Basic Statistics with R

Learn a simple yet powerful way to design and carry out analyses in R.

This workshop introduces statistical concepts in a non technical way and emphasises their practical application in R. Participants will have plenty of opportunities to gain hands-on experience and access in-class support.

The R package will be used within the user-friendly R-Studio interface.

BundooraTBA
2019

Introductory Statistics Online

This six week online course introduces students to the basics of applied statistics used in disciplines including psychology, biology, medicine, health, engineering, business, sociology and the arts. The three main areas of study are descriptive statistics, probability distributions and statistical inference.

The SPSS statistical computing package is an integral part of the course.

OnlineTBA