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Data Manipulation and Visualisation in R at USYD Online

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Online Event

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Learn advanced R skills to support your research.

About this Event

This training program is supported by the Deputy Vice Chancellor (Research) of the University of Sydney. Placements will be prioritised for researchers and research students at the University of Sydney. Registrants who are not researchers or research students at the University of Sydney may be moved to the waitlist. Thank you for your understanding. Please keep an eye on the Intersect website for upcoming courses at your home institution.

This course has two sessions:

9:30 am - 13:00 pm on 24 Sep

9:30 am - 13:00 pm on 25 Sep

An optional technical support on setting up Zoom or RStudio will start at 9 am on 24 Sep.

Why do this course?

R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework.

We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly.

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 (http://www.datacarpentry.org/).

You'll learn:

  • Data manipulation in R using the dplyr package.
  • Data transformation in R using the tidyr package.
  • Visualisation in R using the ggplot2 package.
  • Best practices for writing code in R using RStudio.

Prerequisites

A good knowledge of the basic concepts and techniques in R. Consider taking our Programming with R course to come up to speed beforehand.

The Intersect approach to training

At Intersect, we work closely with our member universities to develop and deliver training that targets the day-to-day software and technology problems that researchers face. We deliver hands-on courses in a relaxed setting with knowledgeable, helpful trainers who are themselves researchers and who know how researchers work.

For more information about this course and others, see our course catalogue, or visit Learn.intersect.org.au

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