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.
- >45 courses and webinars available
- >1,500 courses delivered
- >20,000 researchers trained
- Highly rated by participants Net Promoter Score: +70 (2020)
- 9.3+/10 in all primary metrics for measuring the quality of training delivery
- Delivered locally on campus or online
15 of 50 courses
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.
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