Ranging from awareness to advanced levels, delivered either face-to-face or online, and covering categories such as Research Computing, Programming, Data Science, Data Analytics, Machine Learning (ML) & Artificial Intelligence (AI), Statistics, Data Visualisation, Data Collection and Data Management, Intersect’s live hands-on training courses help researchers to maximise their research productivity.
- >50 courses and webinars available
- >2,000 courses delivered
- >30,000 researchers trained
- Highly rated by participants Net Promoter Score: +75 (2021)
- 9.4+/10 in all primary metrics for measuring the quality of training delivery (2021)
- Delivered locally on campus or online
15 of 54 courses
Beyond Basics: Conditionals and Visualisation in Excel
This course explores functional syntax and statistical charts in Excel.
Getting started with NVivo for Mac
Learn the fundamentals of NVivo including importing data, creating nodes and producing basic visualisations.
R for Social Scientists
Learn about the fundamental concepts in programming using R and apply them to analyse a sample research dataset.
Exploring Chi-Square and correlation in R
This course focuses on the realm of inferential statistics, beginning with correlation and reliability using R.
Introduction to Machine Learning using R: SVM & Unsupervised Learning
Live coding workshop introducing the Support Vector Machine & Unsupervised models in ML using R
Introduction to Machine Learning using R: Classification
Live coding workshop introducing the Classification models in ML using R
Introduction to Machine Learning using R: Introduction & Linear Regression
Live coding workshop introducing the fundamentals of ML & provide a comprehensive introduction to Linear Regression and Model Training using R
Getting Started with Excel
This webinar presents how to manage, analyse and visualise research data in Microsoft Excel for beginners.
Exploring Chi-Square and correlation in SPSS
This course focuses on the realm of inferential statistics, beginning with linear correlation and reliability.
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.