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

Clinical data capture and management with REDcap (QCIF) [webinar]

3 April 2020 9:00am4:30pm
For clinical, translational and health service researchers, health service managers, research managers and others wanting to learn about the capabilities of REDCap - a secure web application for building and managing online surveys and databases. No prior statistical or computing knowledge is necessary. REGISTRATION IS REQUIRED AND WILL OPEN ON 6 MARCH at NOON.

R for reproducible scientific analysis (QCIF) [webinar]

30 April 2020 9:00am1 May 2020 5:00pm
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 for this 2-day workshop unless you are able to attend both days. REGISTRATION IS REQUIRED AND WILL OPEN ON 2 APRIL AT 12 NOON.

Exploring and predicting using linear regression in R (QCIF) [webinar]

11 May 2020 9:00am5:00pm
This workshop will provide attendees with a friendly, gentle introduction to the theory behind linear regressions in R. Prior experience with R and the RStudio interface is required, as well as familiarity with the concepts of descriptive statistics and elementary statistical hypothesis testing. REGISTRATION IS REQUIRED AND WILL OPEN ON 9 APRIL at NOON.

Longitudinal and mixed model analysis in R (QCIF) [webinar]

11 June 2020 9:00am5:00pm
This workshop deals with longitudinal data and its analysis. Participants MUST know R and be familiar with the concepts of statistical hypothesis testing and regression analysis. REGISTRATION IS REQUIRED WILL OPEN ON 11 MAY at NOON.

[NEW] Plotting and programming in Python (QCIF) [webinar]

23 March 2020 9:00am24 March 2020 5:00pm
This software carpentry workshop introduces the building blocks of Python. Please do not sign up for this 2-day workshop unless you are able to attend both days. REGISTRATION IS REQUIRED AND WILL OPEN ON 17 FEB 2020 AT NOON.

Hypothesis testing using R (QCIF)

12 March 2020 9:00am5:00pm
This workshop is relevant to any student who wishes to understand how to conduct the analysis by themselves using R. Prior knowledge of R is required. Note that the examples used will be from bioinformatics. REGISTRATION IS REQUIRED AND OPENS ON 10 FEB AT NOON.