Events and training

Basic Statistics with R

Learn a simple yet powerful way to design and carry out analyses in R in this 2-day introductory workshop.

What is R? R is a free software package for statistical computing and graphics.

Basic Statistics with R introduces statistical concepts in a non-technical way and emphasises their practical application in R. The workshop will provide plenty of opportunities to gain hands-on experience and to access in-class support

Getting started with Nvivo (Windows)

Basic Statistics with Stata

Learn a simple yet powerful way to design and carry out analyses in Stata in this 2-day introductory workshop.

What is Stata? Stata is a statistical software package which is particularly popular among researchers from a diverse range of fields.

Basic Statistics with Stata introduces statistical concepts in a non-technical way and emphasises their practical application in Stata. The workshop will provide plenty of opportunities to gain hands-on experience and to access in-class support.

Information and registration

Intermediate Statistics with R: Regression Analysis

Learn about different regression models and how to carry out their analyses in R in this 2-day intermediate workshop. 

What is R?R is a free software package for statistical computing and graphics.

Intermediate Statistics with R introduces various types of regression models in a non-technical way and emphasises their practical application in R. The workshop will provide plenty of opportunities to gain hands-on experience and to access in-class support.

Information and registration

Sample Size Calculation Workshop

Using free software for sample size & statistical power calculations

What is G*Power? G*Power is a free statistical software package for power and sample size analysis. It offers point-and-click functionality and covers a wide variety of statistical tests.

In this 1-day workshop, concepts of statistical power and relevant statistical tests are covered in a non-technical way. Designed to be hands-on, the workshop focuses on the practical application of statistical methods. There will be plenty of opportunities to access in-class support.

Information and registration

Data Capture and Surveys in REDCap

Programming with R

Longitudinal Trials in REDCap

REDCap is a powerful and extensible application for managing and running longitudinal data collection activities. With powerful features such as organising data collections instruments into predefined events, you can shepherd your participants through a complex survey at various time points with very little configuration.

This course will introduce some of REDCap’s more advanced features for running longitudinal studies, and builds on the foundational material taught in REDCAP101 – Managing Data Capture and Surveys with REDCap.

Excel for Researchers

Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there’s too much of it. Frequently, it has errors. We’ll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data.

Getting started with Nvivo (Windows)

Does your research see you working through unstructured and non-numerical data? With the ability to collect, store and analyse different data types all in the one location makes, it’s easy to see why NVivo is becoming the tool of choice for many researchers.

NVivo allows researchers to simply organise and manage data from a variety of sources including surveys, interviews, articles, video, email, social media and web content, PDFs and images. Coding your data allows you to discover trends and compares themes as they emerge across different sources and data types. Using NVivo memos and visualisations combined with the ability to integrate with popular bibliographic tools you can get your research ready for publication sooner.

Data Entry and Processing in SPSS

This hands-on training is designed to familiarize you with the interface and basic data processing functionalities in SPSS. We will examine several “must know” syntax commands that can help streamline data entry and processing. In addition, we will explore how to obtain descriptive statistics in SPSS and perform visualization.

This workshop is recommended for researchers and postgraduate students who are new to SPSS or Statistics; or those simply looking for a refresher course before taking a deep dive into using SPSS, either to apply it to their research or to add it to their arsenal of eResearch skills.

Data Capture and Surveys in REDCap

Would you like to enable secure and reliable data collection forms and manage online surveys? Would your study benefit from web-based data entry? Research Electronic Data Capture (REDCap) might be for you.

This course will introduce you to REDCap, a rapidly evolving web tool developed by researchers for researchers. REDCap features a high level of security, and a high degree of customisability for your forms and advanced user access control. It also features free, unlimited survey distribution functionality and a sophisticated export module with support for all standard statistical programs.

Programming with Python

Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you’d expect of a modern programming language, and also a rich set of libraries for working with data.
We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation.

Getting Started with HPC Using PBS Pro

Is your computer’s limited power throttling your research ambitions? Are your analysis scripts pushing your laptop’s processor to its limits? Is your software crashing because you’ve run out of memory? Would you like to unleash to power of the Unix command line to automate and run your analysis on supercomputers that you can access for free? High-Performance Computing (HPC) allows you to accomplish your analysis faster by using many parallel
CPUs and huge amounts of memory simultaneously. This course provides a hands on introduction to running software on HPC infrastructure using PBS Pro.