Data Manipulation and Data Visualisation in R (combined)

Course description

Learn about Data Manipulation, Data Transformation and Data Visualisation in R.

SEE AVAILABLE DATES AND ENROL BELOW

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.

Learning Outcomes:

• 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
  
  

Register for your preferred session via the links below

• Tuesday 8 September Data Manipulation and Data Visualisation 9am-4pm Register via Eventbrite
  
  

Prerequisites:
You will need to have completed the Learn to Program: R training to attend this course. Please click here for session dates for Learn to Program:R.

If you already have experience with programming, please check the topics covered in the Learn to Program: R course to ensure that you are familiar with the knowledge needed for this course.

Training will be conducted via Zoom. A Zoom link will be shared with registrants a week before training date. 

About your Trainer:
Dr Ankit Beniwal is Intersect’s Digital Research Analyst (DRA) for Flinders University in 2026. He holds a PhD in Physics from the University of Adelaide and has held multiple post-doctoral positions in Europe. His technical expertise includes Python and R, complemented further by proficiency in qualitative research tools like Qualtrics, NVivo, REDCap, etc.

Type of course

Workshop