This guide is for staff and students who want to access online courses to learn to use a wide range of programming, data analysis and data visualisation languages and platforms. The majority of these platforms are available to students on the University-managed computers across campus, and remotely via UniApps and UniDesk.
MATLAB, Microsoft Excel, SAS, SPSS and Stata are all data management, data analysis and data visualisation platforms that are used by departments across campus. Your lecturer or supervisor can advise you on which of these you will use for your course or for your research.
SQL, R and Python are programming languages that can be used for a range of programming, data management, data analysis and data visualisation functions; RStudio is a Graphical User Interface (GUI) for R. There are a number of open-source and proprietary GUIs for SQL and for Python.
LaTeX is a document writing system that is widely used in disciplines where equations are regularly embedded into the document.
Git is a version control system that is useful for those managing large numbers of text files. GitHub is a code repository system whereby users can share and contribute to source code.
The resources in this guide relate to resources on LinkedIn Learning and O'Reilly Learning.
O'Reilly Learning combines learning resources from a number of publishers, including O'Reilly Media and Pearson. There are over 300 Learning Path courses and over 7500 video courses on topics including data science, data engineering, software development, business, career development, hardware, design, and web and mobile development. There are also over 40,000 books available through O'Reilly Learning.
You can view the content on your laptop / PC, or there is a mobile app that you can use to access content.
If you need any further help with the maths covered in these resources and would like to speak to a human, why not try MASH?
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