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Data Analysis and Visualisation: Training and Resources

Analysis and Visualisation Resources

Getting started with a new tool that you’ve never used before can be a challenging experience. Fortunately there are resources available to you to help you up the learning curve. Check out the training courses, guides and tutorials below to see if there is a resource that will help smooth your learning experience, or that can teach you new tricks in tools that you have previously used. Or get some advice and test-drive a new tool in the Digital Scholarship Studio!

If you know of other available resources that you think other researchers would benefit from knowing about, then get in touch with studio.library@sydney.edu.au.

Training

Intersect Training Courses – The eResearch support agency Intersect offer training courses at the University of Sydney that are available for free to researchers and PhD students. These include courses on using Excel, cleaning data with Open Refine, using Regular Expressions, visualising data with Google Fusion Tables, and High Performance Computing, among others. Intersect’s website lists upcoming courses and provides links to register for courses.

Training in Visualisation and Managing Data for Analysis – A set of sessions offered at the University of Sydney that cover the best practices in various aspects of data visualisation and analysis. Sessions include the principles behind creating effective data visualisations, how to set up spreadsheets to effectively manage data, and how to manage and set up data for use with data analysis software.

ESRI Virtual Camps – Over 50 virtual training courses on ArcGIS are freely available to University students and staff.  

SAS Training – As part of the latest SAS software license for the Education Analytical Suite of products, there is complimentary access to 10 SAS eLearning courses.

Guides and Tutorials

The Programming Historian – Offers novice-friendly, peer-reviewed tutorials that help humanists learn a wide range of digital tools, techniques, and workflows to facilitate their research. Tutorials include lessons on Python, web scraping, QGIS, Google Earth, Omeka, MALLET and other distant reading tools, R, Regular Expressions, OpenRefine, Zotero, data management, and data manipulation. Although the tutorials were developed for and by those working in humanities, they are useful for anyone looking to get started with these tools.

Interactive Data Visualization for the Web – A free online ebook that teaches you the fundamental concepts and methods of D3.js. The book steps through the basic concepts of creating visualisations in D3 with lots of examples for you to try. No previous coding experience is necessary.

codecademy – A series of online interactive tutorials that teach introductory programming language and web development skills. Languages include Python, JavaScript, jQuery, Ruby, PHP, and HTML & CSS.