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 Unix (QCIF) [webinar]

14 October 2020 9:00am5:00pm
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. REGISTRATION IS REQUIRED AND WILL OPEN ON 14 SEP AT NOON.

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

22 October 2020 9:00am5:00pm
This highly interactive online 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 19 SEPTEMBER at NOON.

Plotting and programming in Python (QCIF) [webinar]

26 October 2020 9:00am3 November 2020 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 sessions in full: 26 & 27 Oct and 2 & 3 Nov. REGISTRATION IS REQUIRED AND WILL OPEN ON 30 SEPTEMBER 2020 AT NOON.

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

22 September 2020 9:00am5:00pm
This interactive online 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 22 AUG at NOON.

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

18 September 2020 9:00am5:00pm
This workshop provides an introduction to REDCap for the development and management of registries and surveys through hands on exercises. REGISTRATION IS REQUIRED AND WILL OPEN ON 18 AUGUST at NOON.

Data manipulation and visualisation in R (QCIF special) [webinar]

15 September 2020 9:30am16 September 2020 12:30pm
HOT DEAL OF THE WEEK! We've just received notice about this two*half day (morning) workshop which is a once-off special. Join us for this live coding workshop where we write programs that produce results. Attendees must have a good knowledge of the basic concepts and techniques of R and previous experience working in RStudio. REGISTRATION IS REQUIRED AND WILL OPEN ON 7 SEP AT NOON.

R for reproducible scientific analysis (QCIF) [webinar]

5 August 2020 9:00am6 August 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 online workshop unless you are able to attend both days. REGISTRATION IS REQUIRED AND OPENS ON 5 JULY 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 online workshop unless you are able to attend both days. REGISTRATION IS REQUIRED AND WILL OPEN ON 2 APRIL AT 12 NOON.