Introduction to Statistical Computing with R and R Studio

Introduction to Statistical Computing with R and R Studio

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A one-day course to learn effective skills in data cleaning, manipulation, analysis and visualisation with R and R Studio.

About this event


This online workshop will cover the fundamental aspects of statistical computing with R. The workshop will commence with a short lecture on the principles of statistical computing with R and its benefits, particularly when using powerful R packages such as the tidyverse package.

Following the lecture, the session will continue in a live-demonstration format which will take the participant throughout the stages required to prepare data for inferential statistical analysis, primarily using the tidyverse package.

This online workshop will consist of a short lecture and will run in a live-demonstration format at a pace which will allow participants to follow along as well as ask questions. The workshop will run for 3 hours and will consist of the introductory lecture, followed by installation and overview of R and RStudio user interface, basic R syntax and packages, data import, wrangling, exploration and visualisation. There will be plenty of opportunities to ask questions and get clarification during - and in between - each theme. The course will end with common error messages troubleshooting and ultimately, a final session of Q&As and discussions.

Target audience

The workshop is designed for:

(1) beginners with little or no knowledge of R and RStudio.

(2) users with more experience who wish to familiarise themselves with the tidyverse package.


Installation instructions for R and R Studio will be sent to the participants prior to the workshop and it is highly recommended that participants have R and R Studio ready to run in advance. The workshop materials will also be made available in advance to allow participants to practice the R code in their own time after the workshop has ended.

About the instructor

Dr Ioana Macoveciuc is a Lecturer in Social Statistics at the University of Manchester as well as a member of the Chartered Society of Forensic Sciences and the Royal Statistical Society. You can read more about her interests, activity and research publications here.

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