Analyse data
HPC at UniSA
UniSA provides a powerful High Performance Computing (HPC) service to support the demanding computational needs of its researchers and research degree candidates.
Solve complex computational problems faster on the HPC using:
- Large numbers of CPU cores
- High amounts of memory
- Specialist research software
Learn more below
Software
The Library does not provide support for the following software. Please refer to the relevant tabs or seek advice from your Academic Unit, research centre or research concentration.
Students can access NVivo information and resources from the Software & Apps > Statistics, Survey and Analytics Software > NVivo page
Staff can access NVivo installation and resources from the Software, Apps & the SOE > Statistics and Analytics Software > NVivo page
Use to perform qualitative data analysis. NVivo gives you a place to organize, store and retrieve your data so you can work more efficiently, save time and back up your findings with evidence.
- Learning NVivo - LinkedIn Learning tutorialBeginner level tutorial (1 hr 10 min)
- NVivo 2018 Essentials - LinkedIn Learning tutorialBeginner level tutorial (1 hr 23 min)
- NVivo by QSR YouTube channelDiscover QSR International's NVivo for Windows and NVivo for Mac qualitative data analysis software. Learn more about NVivo software by watching tutorials, how-to videos, recorded eSeminars and eDemos.
The Library does not provide support for the following software. Please refer to the relevant tabs or seek advice from your Academic Unit, research centre or research concentration.
Design your survey with an intuitive drag-and-drop survey tool, powerful logic, 100 plus question types, and pre-built survey templates. Qualtrics is available to all UniSA staff, researchers and HDR students.
For information about Qualtrics, refer to the Qualtrics XM AskResearch page.
The Library does not provide support for the following software. Please refer to the relevant tabs or seek advice from your Academic Unit, research centre or research concentration.
Students can access SPSS licensing information from the Software & Apps > Statistics, Survey and Analytics Software > SPSS Licensing for UniSA Students page
Staff can access SPSS licensing information from Software, Apps & the SOE > Statistics and Analytics Software > SPSS Licensing for UniSA Staff page
Widely used for statistical analysis in social sciences, as well as other discipline areas such as health sciences, marketing, and education. The University has a licence agreement with SPSS that allows use of this software at no charge.
- SPSS Statistics Essential Training - LinkedIn Learning tutorialBeginner level tutorial (4 hr 57 min)
The Library does not provide support for the following software. Please refer to the relevant tabs or seek advice from your Academic Unit, research centre or research concentration.
Students can access R and RStudio installation information from the Software & Apps > Statistics, Survey and Analytics Software > Student Apps via Citrix page
Staff can access R installation and information from Software, Apps & the SOE > Statistics and Analytics Software > R & RStudio page
R is a software program which allows you to do statistical computing, programming, data analysis and visualisation. RStudio is the graphical user interface for R.
- R Programming 101A suite of videos which allow you to work at your own pace.
- R for data science: Lunchbreak lessons - LinkedIn LearningThis weekly series reviews the language features, development tools and libraries that will make you a more productive R programmer. Intermediate level tutorial (19 hr)
- Learning R - LinkedIn LearningIntroduces the R statistical processing language, including how to install R on your computer, read data from SPSS and spreadsheets, and use packages for advanced R functions. Beginner level tutorial (2 hr 51 min)
The Library does not provide support for the following software. Please refer to the relevant tabs or seek advice from your Academic Unit, research centre or research concentration.
Python is a general purpose and high level programming language.
Information about Python can be found from the University's AskResearch High Performance Computing (HPC) page.
- Learn PythonA full introduction into all of the core concepts in Python (4 hr 26 min)
- Learning Python - LinkedIn LearningProvides an overview of the installation process, basic Python syntax, and an example of how to construct and run a simple Python program. Learn to work with dates and times, read and write files, and retrieve and parse HTML, JSON, and XML data from the web. Beginner level course (3 hr 5 min)
- Python: Data analysis - LinkedIn LearningIf you're going to work with big data using Python, you'll be definitely using Pandas and NumPy, the third-party packages designed specifically for data analysis. This course provides an opportunity to learn about them, including how to set up your analysis environment, using data containers, and the power of arrays, indexing, and DataFrames in NumPy and Pandas. Intermediate level course (2 hr 16 min)