Fall 2026
Instructor: Hannah Tran (tranhan@yorku.ca)
Description: This workshop is designed for new users with a basic understanding of statistics who want to start working with R. You'll begin by getting comfortable with the RStudio interface, learning basic commands, working with R packages, and importing and exporting datasets. From there, you'll use R to explore, manipulate, and clean data, then run descriptive statistics and learn to interpret the output directly in R. Finally, you'll create visualizations and use R Markdown to present your findings. By the end, you'll have the core R skills needed to start tackling your own data projects.
Cost: $45 + tax
Eligible for a Digital Credential: Yes
Registration:
Intermediate R
Instructor: Gabriel Crone (gc2001@my.yorku.ca)
Description: TBA
Dates/Times: TBA
Format: Online (Zoom)
Cost: $TBA + tax
Eligible for a Digital Credential: Yes
Registration:
Introduction to Python for Data Analysis
Instructors: Gavin Klorfine (gklorfin@yorku.ca) & Deborah Laze (laze@yorku.ca)
Description: Starting with the installation of Python and relevant packages, attendees are then guided through basic programming structures/syntax, culminating in the manipulation and analysis of data. The Python packages of interest for this course include, but are not limited to: numpy, Pandas, and matplotlib. Interactive exercises will be available throughout the workshop to practice applying Python and data analysis skills and will serve as the building blocks for a short, end-of-workshop project. Successful completion of this project will earn you a digital credential. This workshop is meant for those with no prior experience or exposure to Python, although all levels are welcome.
Dates/Times: TBA
Format: Online (Zoom)
Cost: $TBA + tax
Eligible for a Digital Credential: Yes
Registration:
How to Leverage AI to Assist with Data Analysis
Instructor: Carmel Camilleri (carmel01@yorku.ca)
Description:
Dates/Times:
Format: Online (Zoom)
Cost: $TBA + tax
Eligible for a Digital Credential: Yes
Registration:
Some courses offered through the QMWS permit students to receive a Digital Credential/Badge for completing the course. There is no cost to you in order to receive the Digital Credential/Badge. For more details please see Digital Credentials.
To see a list of past QMWS workshops, visit our Archives Page
