Empowering Research

Leading provider of digital research training, data science, & technology. Tailored support for researchers, including data management, computing and Software Engineering.

About Intersect

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Our mission is to provide services that empower growth, offer lifelong learning resources, deliver data-driven insights, and provide tailored solutions, guided by excellence and innovation.

We help researchers, research faster.

 

Upcoming Courses

30Apr
EXCEL101 EXCEL101: Excel For Researchers
30Apr
EXCEL201 EXCEL201: Beyond Basics: Conditionals and Visualisation in Excel
30Apr
GIT101 GIT101: Version Control with Git
30Apr
HPC201 HPC201: Getting started with HPC using PBS Pro
30Apr
HPC202 HPC202: Getting started with HPC using Slurm
30Apr
HPC301 HPC301: Parallel Programming for HPC
30Apr
JULIA101 JULIA101: Learn to Program: Julia
30Apr
JULIA201 JULIA201: Beyond the Basics: Julia
30Apr
MATLAB101 MATLAB101: Learn to Program: MATLAB
30Apr
NVIVO101 NVIVO101: Getting started with NVivo for Windows
30Apr
NVIVO102 NVIVO102: Getting started with NVivo for Mac
30Apr
PYTHON101 PYTHON101: Learn to Program: Python
30Apr
PYTHON110 PYTHON110: Python for Research
30Apr
PYTHON201 PYTHON201: Data Manipulation in Python
30Apr
PYTHON202 PYTHON202: Data Visualisation in Python
30Apr
PYTHON203 PYTHON203: Data Manipulation and Visualisation in Python
30Apr
PYTHON205 PYTHON205: Introduction to Machine Learning using Python: Introduction & Linear Regression
30Apr
PYTHON206 PYTHON206: Introduction to Machine Learning using Python: Classification
30Apr
PYTHON207 PYTHON207: Introduction to Machine Learning using Python: SVM & Unsupervised Learning
30Apr
QLTRICS101 QLTRICS101: Surveying with Qualtrics
30Apr
R101 R101: Learn to Program: R
30Apr
R103 R103: R for Social Scientists
30Apr
R110 R110: R for Research
30Apr
R201 R201: Data Manipulation in R
30Apr
R202 R202: Data Visualisation in R
30Apr
R203 R203: Data Manipulation and Visualisation in R
30Apr
R205 R205: Introduction to Machine Learning using R: Introduction & Linear Regression
30Apr
R206 R206: Introduction to Machine Learning using R: Classification
30Apr
R207 R207: Introduction to Machine Learning using R: SVM & Unsupervised Learning
30Apr
R210 R210: Exploring Chi-Square and correlation in R
30Apr
R211 R211: Traversing t tests in R
30Apr
R212 R212: Exploring ANOVAs in R
30Apr
RDMT001 RDMT001: Research Data Management Techniques
30Apr
REDCAP101 REDCAP101: Data Capture and Surveys with REDCap
30Apr
REDCAP201 REDCAP201: Longitudinal Trials with REDCap
30Apr
REGEX101 REGEX101: Mastering text with Regular Expressions
30Apr
REFINE101 REFINE101: Cleaning Data with Open Refine
30Apr
REGEX201 REGEX201: Regular Expressions on the Command Line
30Apr
SC101 SC101: Software Carpentry (Python)
30Apr
SC102 SC102: Software Carpentry (R)
30Apr
SPSS101 SPSS101: Data Entry and Processing in SPSS
30Apr
SPSS102 SPSS102: Exploring Chi-Square and correlation in SPSS
30Apr
SQL101 SQL101: Databases and SQL
30Apr
STATS201 STATS201: Statistical Comparisons using R
30Apr
STATS202 STATS202: Exploring and Predicting Using Linear Regression in R
30Apr
TABLEAU101 TABLEAU101: Getting Started with Tableau for Data Analysis and Visualisation
30Apr
UNIX101 UNIX101: Unix Shell and Command Line Basics
30Apr
WEBDATA201 WEBDATA201: Collecting Web Data

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