Want to create maps but don’t have the time, patience, or storage space for a new application? We’ve got you covered.
Curious about uncovering patterns in your data? Whether you're investigating how income relates to education or how age and location affect voting behaviour, linear regression helps quantify and interpret relationships between variables.
Curious about R but not sure where to start? This beginner-friendly workshop is designed for those with no prior experience in R programming.
Want to explore how people, ideas, or objects are connected? In this virtual workshop, you will learn how to use Gephi, a free and open-source tool designed for network visualization and analysis.
Looking for an accessible way to analyze data? SPSS is a widely used statistical software that makes it easy to explore, summarize, and interpret data—no programming required.
Want to turn your data into clear, compelling visuals? In this beginner-friendly workshop, you will learn how to use Power BI, a powerful tool for building interactive dashboards and charts.
Interested in learning one of the world’s most popular programming languages? Python is beginner-friendly and widely used across many fields for data analysis, automation, and more.
Interested in digital mapping, but unsure of where to start?
Do you want to analyze outcomes like disease presence, voting behavior, or customer churn? Logistic regression is a powerful method for modeling binary outcomes and understanding how different factors influence the likelihood of an event.
Want to bring your data to life through interactive maps?
Interested in working with Canadian survey data? This hands-on workshop introduces participants to data analysis using Public Use Microdata Files (PUMF) from Statistics Canada’s sample surveys.