2023 Winter Workshops on Reproducible Research
The Laurier Institute for the Study of Public Opinion and Policy is hosting a series of workshops on reproducible research in the social sciences during the Winter Reading Week from February 21st to the 24th. A mix of remote courses will be offered introducing undergraduate and graduate students, faculty and researchers to introductory and advanced statistical analysis and data visualization using R, RMarkdown and GitHub, geospatial mapping and dashboarding with R. Register for one of the following courses:
For a limited time, students may receive 20% off by using the promo code 'Student20' at checkout.
Introduction to R (February 21st and 22nd)
Course Description
Introduction to R will cover everything needed to begin working with data in R and RStudio, with a focus on tidyverse styling. The workshop will cover the basic syntax of R and how to navigate the GUI as well as resources for getting help. Participants will learn about data structures and object classes in R and best practices for cleaning and wrangling data. The session will introduce methods to summarize and describe data such as visualizations and summary statistics. Finally, the workshop will cover some basic statistical tests of comparison such as chi-squared and t-tests.
Prerequisites: Participants should install R and RStudio before the workshop, but no previous knowledge of R or programming is required.
Register on Eventbrite
Instructor Bio
Julia Ma is a Data Scientist at Precision-Analytics, a Montreal-based consultancy. She has extensive experience supporting clinical and academic research, working with data that range from electronic medical records to provincial-level administrative data. Julia’s work spans observational and experimental studies including quality improvement initiatives, health economic analyses, and predictive modelling. She holds a Master’s degree in Epidemiology from the Dalla Lana School of Public Health, University of Toronto.
Data Visualization with R (February 23rd)
Course Description
This workshop will showcase the data visualization capabilities of R with an emphasis on the expansive and highly customizable graphics that can be produced with the ggplot2 package. The session will cover commonly produced graphs to communicate scientific results (bar plots, histograms, scatter plots, cumulative incidence curves) and touch on additional packages for spatial visualisation and interactive plots. Workshop participants will have the opportunity to wrangle and prepare a data set for visualization, and thoughtful presentation and communication of data will be discussed.
Prerequisites: Attendees should have R and RStudio installed on their local machines and know-how of reading data into the working environment.
Register on Eventbrite
Instructor Bio
Julia Ma is a Data Scientist at Precision-Analytics, a Montreal-based consultancy. She has extensive experience supporting clinical and academic research, working with data that range from electronic medical records to provincial-level administrative data. Julia’s work spans observational and experimental studies including quality improvement initiatives, health economic analyses, and predictive modelling. She holds a Master’s degree in Epidemiology from the Dalla Lana School of Public Health, University of Toronto.