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 37 courses
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 Reproducible Scientific Analysis
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.
Statistical Comparisons using R
Learn how to use the popular statistical models for your data in R.
Survey Tools in Research: REDCap and Qualtrics
Investigate two of the most popular tools for electronic data collection
From PC to Cloud or High Performance Computing
What are Cloud Computing and High-Performance Computing, and which – if either – should you be using?
Thinking like a Computer: The Fundamentals of Programming
Learn to approach a problem the way a computer would, using the concepts common to all programming languages
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.