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
Beyond the Basics: Julia
Explore the more advanced features of functions, widely used tools, and benchmarking in Julia
Data Visualisation in R
Learn about Data Visualisation in R using ggplot2, one of the most popular plotting packages.
Data Manipulation in R
Learn about Data Manipulation and Data Transformation in R using the dplyr and tidyr packages.
Data Visualisation in Python
Learn about Data Visualisation in Python using the matplotlib and seaborn libraries.
Data Manipulation in Python
Explore DataFrames in depth and learn about Data Manipulation in Python using the pandas library.
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
Introduction to Project Management with RStudio, as well as DataFrames and Plotting in R.
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.