Intro to R programming

Learn the foundations of R coding over three 2 hour sessions online


I use examples from our everyday lives to teach you how to code in R with a focus on how best to write computer instructions to achieve your data management and analytical needs.

What you’ll learn

The intro to R course covers:

  • installing R and RStudio
  • importing and exporting data
  • producing informative tables and charts
  • developing logic steps to create new variables
  • analysing introductory level statistics (e.g. t-tests, confidence intervals)
  • managing quality control of the results produced
  • saving output and exporting data
  • working with missing data (no imputation)

This course assumes a basic understanding of statistics. It will demonstrate how to calculate various test statistics but it will not cover how to select the most appropriate one, as these concepts are covered in detail in Intro to data analysis and briefly in Intro to Stats.


Who it’s for

The intro to R course is suitable for anyone who wants to learn how to code in R. It does not assume any prior coding experience. This includes individuals:

  • starting out with their own data analysis
  • unsure of the basic concepts involved in coding

Format

This intro to R course is taught online over 3 weekly sessions of 2 hours duration each.

  • Taught over Zoom with shared control such that participants can code live into my R file for feedback.
  • After each session you will be given exercises to consolidate your learnings and I will be available on email to assist you, if required.
  • Group size is limited to 6 participants online for a more personalised learning experience.


Instructor

Dr Nicole Mealing, will help you demystify statistics, so you are more comfortable and confident around data, wherever you encounter it. This course is developed and taught harnessing over fifteen years of industry and teaching experience, including teaching at almost every university in Sydney.

Nicole offers an approachable learning experience far removed from the university model, and tailored to people with little or no analytical experience.

Learn more about Nicole and Simplify Stats.