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.
15 of 44 courses
Data Visualisation using R
Learn about data visualisation in R using the class leading ggplot2 package.
Data Manipulation using R
R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers.
Getting started with HPC using Slurm
This course provides a hands on introduction to running software on HPC infrastructure using Slurm.
Introduction to Machine Learning using Python: SVM & Unsupervised Learning
Live coding workshop introducing the Support Vector Machine & Unsupervised models in ML using Python
Introduction to Machine Learning using Python: Classification
Live coding workshop introducing the Classification models in ML using Python
Introduction to Machine Learning using Python: Introduction & Linear Regression
Live coding workshop introducing the fundamentals of ML & provide a comprehensive introduction to Linear Regression and Model Training using Python
Getting Started with Tableau for Data Analysis and Visualisation
This training course is a beginner course for people to learn how to use Tableau for data manipulation and visualisation.
R for Research
A live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation.
Getting started with NVivo
Learn the fundamentals of NVivo including importing data, creating nodes and producing basic visualisations.
Exploring and Predicting Using Linear Regression in R
Learn how to use regression methods in R.