At UQ, there are many research tools available at your disposal. Preview the available research software and programming languages and learn the pros and cons of each. Investigate how to use them to effectively analyse, manipulate, and visualise your research data.
 

Library workshops

The library offers a range of workshops under the headings below including:

R with RStudio  Excel for research data  NVivo Pro

Useful links

  • Library's software training resources
  • Software carpentry: The open-source movement to teach basic lab skills for research computing.
  • REDCap consortium: A secure web application for building and managing online surveys and databases. UQ is a member of the consortium
  • RStudio cheat sheets
  • Hacky Hour (supported by RCC, QCIF, IMB and wonderful volunteer helpers!): RCC runs consultations every Tuesday at Cafe Nano. Come and ask IT questions such as: getting started with Python and R, stats, machine learning, bio-image, software tools, research data management (RDM), how to access high performance computing, cloud data storage and tools for data cleaning and data visualisation. Bring your project's IT problems or come along as a helper! Very occasionally Hacky Hour may not run; follow us on Twitter (@HackyHourStLuc​) to get the latest announcements. Aside from the usual IT research questions, 
    • First Tuesday of the monthBioinformatics Hacky Hour, ask bioinformatics analysis, software and pipeline questions
    • Last Tuesday of the monthBioLab Hacky Hour, ask about experimental design and technical sample processing questions to get started in the lab

Introduction to SPSS (QCIF) [webinar]

2 August 2024 9:00am5:00pm
This workshop will provide a hands-on introduction to the widely-used SPSS statistical analysis package. Participants will learn how to import, manage and transform datasets, and how to summarise and present data. The workshop will also include a basic introduction to statistical testing using SPSS.

R for reproducible scientific analysis (QCIF) [Webinar]

5 August 2024 9:00am8 August 2024 12:30pm
An introduction to R for non-programmers using gapminder data (Combines the former workshops Intro to R and Advanced R). Please do not sign up unless you are able to fully attend all four mornings.

Plotting and programming with Python (QCIF) [webinar]

19 August 2024 9:00am22 August 2024 12:30pm
This software carpentry workshop introduces the building blocks of Python. Please do not sign up for the four half-days (morning) interactive workshop unless you are able to attend all four morning sessions in full.

Intro to the Unix Shell (QCIF) [webinar]

26 August 2024 9:00am27 August 2026 12:30pm
This practical hands-on workshop will help participants to automate processes or use ‘command line’ research software, including using high performance and parallel computing facilities. No previous Unix or command line experience is required. Please do not sign up unless you are willing to attend both morning sessions in full.

R for reproducible scientific analysis (QCIF) [webinar]

9 September 2024 9:00am12 September 2024 12:30pm
An introduction to R for non-programmers using gapminder data (Combines the former workshops Intro to R and Advanced R). Please do not sign up unless you are able to fully attend all four mornings.

Introduction to SPSS (QCIF) [webinar]

18 September 2024 9:00am19 September 2024 12:30pm
This workshop will provide a hands-on introduction to the widely-used SPSS statistical analysis package. Participants will learn how to import, manage and transform datasets, and how to summarise and present data. The workshop will also include a basic introduction to statistical testing using SPSS. This event is split up over two mornings. Please do not sign up unless you are able to attend all sessions.

Plotting and programming with Python (QCIF) [webinar]

23 September 2024 9:00am26 September 2024 12:30pm
This software carpentry workshop introduces the building blocks of Python. Please do not sign up for the four half-days (morning) interactive workshop unless you are able to attend all four morning sessions in full.

R for reproducible scientific analysis (QCIF) [webinar]

14 October 2024 9:00am17 October 2024 12:30pm
An introduction to R for non-programmers using gapminder data (Combines the former workshops Intro to R and Advanced R). Please do not sign up unless you are able to fully attend all four mornings.

Plotting and programming with Python (QCIF) [webinar]

18 November 2024 9:00am21 November 2024 12:30pm
This software carpentry workshop introduces the building blocks of Python. Please do not sign up for the four half-days (morning) interactive workshop unless you are able to attend all four morning sessions in full.

Intro to the Unix Shell (QCIF) [webinar]

25 November 2024 9:00am26 November 2024 12:30pm

Introduction to SPSS (QCIF) [webinar]

27 November 2024 9:00am5:00pm
This workshop will provide a hands-on introduction to the widely-used SPSS statistical analysis package. Participants will learn how to import, manage and transform datasets, and how to summarise and present data. The workshop will also include a basic introduction to statistical testing using SPSS.

Containers for Reproducible Computational Environments (QCIF) [webinar]

24 July 2024 9:00am12:30pm
Anyone interested in finding out more about containers and learning how to run research software from containers. Basic experience with Unix or Linux is required.

R for reproducible scientific analysis (QCIF) [Webinar]

9 July 2024 9:00am12 July 2024 12:30pm
This Software Carpentry workshop will introduce novice programmers to the R software environment, a powerful, popular and free statistical and graphical programming language. This event is split up over four mornings. Please do not sign up unless you are able to attend all four sessions.

Introduction to HPC (QCIF) [webinar]

13 November 2023 9:00am1:00pm
This interactive workshop will introduce you to HPC. You *must* have access to an HPC cluster to attend the course; basic experience with Unix or Linux is highly recommended. REGISTATION IS REQUIRED AND WILL OPEN 13 SEPTEMBER AT 12 PM.