Data Manipulation and Visualization in R
- Start Date: October 21, 2025
- End Date: October 24, 2025
- Time: 8:30am-12:30pm
- City: Online
- Instructor: Ayla Pearson
- Registration open
Course Description
Data manipulation and visualization will provide students with the tools they need to effectively tidy, transform and visualize their data in R. This course will teach the theory behind tidy data, setting up a reproducible data pipeline, introduction in the tidyverse suite of packages, importing data, tidying data, transforming data, dealing with missing data, summary statistics, exploratory data analysis, data visualizations and writing reports in R markdown. Focus on dplyr, tidyr and ggplot2 packages from the tidyverse.
This course spans four half-days.
This course is paired with a Ayla’s Intro to R course. There are two Intro to R courses taking place May 13-16, and May 27-30. These courses fill quickly so if you need to brush up on your R skills before taking this course, be sure to register for these right away.
Course objectives
- Tips to create a reproducible and well-organized workflow
- Introduction to the tidyverse (focus on dplyr, tidyr and ggplot2)
- Turn messy data in to tidy data
- Handle missing data
- Create plots with ggplot2 for discrete, continuous, and categorical variables
- Ask and answer question based on your data
- Create reports with R markdown
Prerequisite knowledge
This is the follow-up course from Ayla Pearson’s foundation Introduction to R Software course. Students should have a basic working knowledge of R software, but this is still an intro-level course on the concepts and skills described above.
Our Instructor
Ayla Pearson is a Computational Biologist at Poisson Consulting Ltd. who has a passion for the intersection between data and resource management policy. During her Master of Data Science, she was a Women in Data Science (WiDS) ambassador.
The Student Page will be here. The password is provided to all registrants via email. This page will contain all course materials, including class recordings.
Preparation and what to bring
You’ll need a stable internet connection and your own working computer
- A free account with RStudio Cloud
- Basic understanding of the fundaments of R and ability to use R.
- Pre-requisite: Intro to R course if needed – see above listed Intro to R course options
- Computer with reliable internet connection, and equip with video camera and a speaker/mic adequate enough to clearly communicate via the Zoom video conferencing platform.
- Zoom. More info on system requirements for Zoom can be found here.
What is included with this course?
- Access to the courses’ online materials (students can follow the student page link for this info.)
- Registrants will have access to course recordings for 1 month before they are deleted
Registration
Registration includes free access to the cloud version of Posit (RStudio), the course workbook, same data sets, and course recordings for one month.
Members: $460*
Non-members: $505
Limited class size of 12 people, register immediately to secure your spot.
*Memberships may be purchased and renewed while you register. More about membership here.
When registration fills you may request to be placed on the notification list should an extra seat open up in the course, and/or to be notified of the next time we offer this course. To join this list, please email Hailey: office@cmiae.org
Thank you!
This course is offered in partnership with the team at Poisson Consulting.
