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 32 courses
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.
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.