Promo codes
To celebrate the launch of this new service, for a limited time Intersect is offering discounts to all registrants! Choose the applicable code from below to receive up to save up to 50% off the regular price of $640!
- Use code EARLYINTRO-HDR and pay only $320
- Use code EARLYINTRO and pay only $420
- Use code INTRO-HDR and pay only $480
All prices listed are excluding GST.
Looking for another way to pay? If you would like an invoice issued , please contact: training@intersect.org.au.
Discount codes (except INTRO-HDR) are available for registrations completed 2 weeks prior to the scheduled course date. To be eligible for HDR discounts, you must register using your institution issued student email address.
Information about 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.
In this workshop, you will learn how to manipulate, explore and get insights from your data (Data Manipulation using the dplyr package), as well as how to convert your data from one format to another (Data Transformation using the tidyr package). You will also explore different types of graphs and learn how to customise them using one of the most popular plotting packages in R, ggplot2 (Data Visualisation).
We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly.
Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from Intersect and the highly regarded Software Carpentry Foundation.
You’ll learn:
- DataFrame Manipulation using the dplyr package
- DataFrame Transformation using the tidyr package
- Using the Grammar of Graphics to convert data into figures using the ggplot2 package
- Configuring plot elements within ggplot2
- Exploring different types of plots using ggplot2
Prerequisites
Either Learn to Program: R or Learn to Program: R and R for Research needed to attend this course. If you already have experience with programming, please check the topics covered in the Learn to Program: R and R for Research courses to ensure that you are familiar with the knowledge needed for this course.
For more information about prerequisites and programming pathways for this course, please visit the course page on our website.
The Intersect approach to training
At Intersect, we deliver hands-on courses that targets the day-to-day software and technology problems that researchers face.
For more information about this course and others, see our course catalogue, or visit Learn.intersect.org.au
For more information about how we allocate tickers and address no-shows, see our training policy.