Delivered by Intersect’s team of experts, our portfolio of training courses are designed to introduce practical and research-relevant tools and technologies to researchers.
Ranging from introductory to advanced, and covering concepts from Data Collection, Management, and Analysis to Software, Programming, and Advanced Computing, Intersect’s training courses will help researchers maximise productivity.
We continually monitor and update our courses to stay relevant and useful. Researchers at Intersect member organisations can enjoy free training courses funded through their organisation’s membership package. We also offer training for non-members on a fee-for-service basis.
Please see this news article for further information on Intersect training during the COVID-19 pandemic.
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A showcase of Data Analysis in Python and R: A case study using COVID-19 data
See data cleaning and manipulation demonstrated in both R and Python using COVID-19 datasets
Start Coding without Hesitation – Programming Languages Showdown
Which language should you choose to learn? This webinar will discuss the pros and cons of four languages that are widely used in...
Longitudinal Trials with REDCap
Learn how to run longitudinal data collection, such as surveys with post-intervention and follow-up questionnaires, using REDCap's powerful features.
Software Carpentry (R)
A live coding workshop where we write programs in R that produce results, using the researcher-focused training modules from the highly regarded Software...
Collecting Web Data
Learn how to monitor, track and extract information from the internet and generate structured datasets using Python
Surveying with Qualtrics
This course will introduce the technical components of Qualtrics from building a survey to analysing the results.
Data Visualisation Techniques
Data visualisation can help make sense of your data, reveal new insights, and communicate research outcomes to others clearly and persuasively in a...
Data Entry and Processing in SPSS
Learn how to use SPSS to import and manipulate data, and visualise results.
Data Manipulation and Visualisation in R
R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers.
Data Manipulation and Visualisation in Python
Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern...
Data Capture and Surveys with REDCap
This course will introduce you to REDCap, a rapidly evolving web tool developed by researchers for researchers.
Parallel Programming for HPC
Move from writing single-threaded programs into the parallel programming paradigm.
Version Control with Git
A workshop where we cover the fundamentals of version control using the researcher-focused training modules from the highly regarded Software Carpentry Foundation.
Programming with Julia
A live coding workshop where we write programs that produce results, using Jupyter notebooks, which allow program code, results, visualisations and documentation to...