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Catalogue

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

Course Catalogue

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15 of 46 courses
Data Analytics

Getting Started with Excel

This webinar presents how to manage, analyse and visualise research data in Microsoft Excel for beginners.

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Data Analytics

Exploring Chi-Square and correlation in SPSS

This course focuses on the realm of inferential statistics, beginning with linear correlation and reliability.

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Programming

Beyond the Basics: Julia

Explore the more advanced features of functions, widely used tools, and benchmarking in Julia

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Data Science

Data Visualisation in R

Learn about Data Visualisation in R using ggplot2, one of the most popular plotting packages.

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Data Science

Data Manipulation in R

Learn about Data Manipulation and Data Transformation in R using the dplyr and tidyr packages.

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Data Science

Data Visualisation in Python

Learn about Data Visualisation in Python using the matplotlib and seaborn libraries.

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Data Science

Data Manipulation in Python

Explore DataFrames in depth and learn about Data Manipulation in Python using the pandas library.

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Programming

Python for Research

Introduction to DataFrames and Plotting in Python

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Research Computing

Getting started with HPC using Slurm

This course provides a hands on introduction to running software on HPC infrastructure using Slurm.

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Data Analytics

Introduction to Machine Learning using Python: SVM & Unsupervised Learning

Live coding workshop introducing the Support Vector Machine & Unsupervised models in ML using Python

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Data Analytics

Introduction to Machine Learning using Python: Classification

Live coding workshop introducing the Classification models in ML using Python

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Data Analytics

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

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Data Analytics

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.

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Programming

R for Research

Introduction to Project Management with RStudio, as well as DataFrames and Plotting in R.

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Data Analytics

Getting started with NVivo

Learn the fundamentals of NVivo including importing data, creating nodes and producing basic visualisations.

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Need Training? Reach out by emailing learn@intersect.org.au  or get in touch with

Dr. Anastasios Papaioannou

eResearch Training Manager & Lead Research Data Scientist
anastasios@intersect.org.au
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