Registration to come

Virtual workshop. The aim of this workshop is to provide an overview of the various Quebec administrative databases available for research via the Institut de la statistique du Québec. Participants will learn to identify the key variables in each bank, assess the strengths and limitations of using these data in research, and explore concrete examples of scientific publications based on these data.

Bilingual, in person training. This intensive course explores the fundamental principles of reproducibility, a pillar of open science that ensures the transparency and credibility of scientific research. You’ll discover best practices for making your work reproducible, from data management and code documentation to version control and dissemination of results.

Prerequisites: Previous knowledge of at least one statistical software package (STATA, R, Python, SPSS or SAS). Participants should bring their laptops with statistical software installed.

Course outline – 2025 version. (An updated course outline will be posted later over the winter)

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Mobility grants

Up to five $500 CDN scholarships are available to students from outside Montreal who must travel to attend the course, thanks to funding from the Alfred P. Sloan Foundation at Cornell University.

Submit your application by clicking on the following link (on the Cornell website)

Application deadline: April 10, 2026.

**Bursaries will be paid out to selected candidates once the course has been completed.

Face-to-face. This full day of bilingual technical training is designed for individuals with a working knowledge of Stata who wish to develop advanced skills necessary for the analysis of large and complex longitudinal datasets.

Specifically, this Stata programming training will benefit researchers who wish to analyze Canadian administrative datasets and related data linkages. The workshop will provide detailed examples of Stata codes as well as exercises that will facilitate data preparation, data management, and the completion of data validation and description steps necessary before performing regression analysis.

Prerequisites: Functional knowledge of STATA (Note: to ensure you have the required knowledge, register for the Introduction to STATA course on April 22 and 23, 2026).

Face-to-face workshop. Learn how to quickly and easily produce graphics ideal for scientific publication. Based on ggplot2’s graphical grammar, the course introduces the creation of elegant and informative visualizations that facilitate the interpretation and presentation of research results. Hands-on training to master the basics of ggplot2 and explore its advanced capabilities for producing custom graphics.

Prerequisites: Minimal knowledge of the R environment

Face-to-face workshop. This workshop introduces participants to the efficient use of STATA. By the end of the course, participants will be able to manage data files, manipulate and transform variables, and analyze them. Emphasis will be placed on the use of the main commands, but the graphical interface will also be used. Resources both inside and outside STATA will also be used to facilitate learning.

Prerequisites: Participants should ideally be familiar with at least one statistical analysis program (SPSS, NCSS, Excel) and have a good understanding of basic quantitative methods.

Virtual workshop. This workshop, presented in English, will introduce participants to the functions and methods of geospatial analysis within geographic information science (GIS). Participants will learn how to use descriptive statistics on geospatial datasets, analyze point patterns, perform cluster analysis, as well as interpolation methods and geographically weighted regression analysis.

Prerequisites: Participants should have a basic knowledge of R programming and be familiar with the tidyverse package. An understanding of fundamental geographic concepts and some experience with spatial data are recommended. Previous experience with GIS software is an asset, but not required.

Virtual workshop. This workshop, presented in English, will introduce participants to R’s functions and packages for creating geographic maps. The workshop will cover working with coordinate systems, projections, and the conversion of latitude and longitude values into points. By the end of the workshop, participants will be able to create static and dynamic maps displaying point, line and area data, as well as raster images, including inset maps, and export them for reports or websites.

Prerequisites: A basic knowledge of R and the tidyverse package is required to take full advantage of the workshop.

Face-to-face workshop. This workshop will introduce participants to latent class analysis, which identifies subgroups of normally unobservable individuals from nominal or ordinal variables. The course will cover the theoretical bases, the determination of the number of classes and posthoc analyses. Participants will use R and Mplus to perform these analyses, and the advantages and disadvantages of both software packages will be discussed.

Prerequisites: Familiarity with R or Mplus is recommended, but not essential.

Online workshop (in English).

By the end of this training, participants will have gained a solid understanding of the R software, enabling them to perform basic tasks in data management, analysis, and visualization.

Virtual workshop. This workshop, presented in English, will introduce participants to how to efficiently locate and extract Canadian census and Statistics Canada data in R, as well as their geographical boundaries.

Prerequisites: Basic knowledge of R.