Events

Data often comes in the form of tables or databases, making it challenging to understand beyond their sizes and variable types. This workshop will introduce you to graphical and numerical techniques to uncover the structure of your data.

Linear regression models, also known as linear models, are essential tools in various fields due to their simplicity and ease of interpretation. This workshop offers a comprehensive introduction to both simple and multiple linear regression.

In this one-day workshop and drawing on Dr. Sarah Wilkins-Laflamme’s 10+ years of experience running national and international surveys, we will review the key steps in developing high-quality survey questions and questionnaires along with tips for achieving precise, relevant and accessible measures when collecting survey data via smartphone, tablet, computer, in-person interview, telephone interview and mail. There will be a number of hands-on activities throughout this workshop for constructing new survey measures as well as for improving examples of existing survey measures brought by the workshop participants themselves and drawn from the International Social Survey Programme’s 2024 module on digital societies.

The workshop will be held in DC 1568. Registration is free for all students, faculty and staff at the University of Waterloo.

Count data, which consists of non-negative integers, is commonly collected and analyzed in fields like epidemiology, genomics, and clinical research. This workshop will introduce you to Poisson regression, a powerful tool for modelling count data over time.

Join us for an introductory workshop to R, where you’ll learn the fundamentals of this powerful open-source language.

Registration is free and open to all University of Waterloo faculty, staff, and students (both graduate and undergraduate). No prior programming experience is required.

This workshop provides a comprehensive review of fundamental statistical concepts using the R software. Participants will revisit key topics such as descriptive statistics, probability distributions, hypothesis testing, and basic inferential statistics. The session includes practical exercises in R to reinforce understanding and application of these concepts.

Learn how to use Qualtrics to create and launch a survey. The goal of this workshop is to provide an overview of the whole process along with some hands-on exercises. The workshop will start with instructions on how to build a survey, then will cover getting it ready for the field, and finish with showing users how to distribute, monitor, and extract their data.

Registration is free to all students, faculty and staff at the University of Waterloo.

In this workshop, we aim to provide a practical introduction to statistical methods used for comparing group means, including various types of t-tests, analysis of variance (ANOVA), and post-hoc analysis techniques. Participants will learn when and how to apply independent and paired t-tests, interpret ANOVA results, and choose appropriate post-hoc tests to explore significant findings. Through examples and hands-on exercises, attendees will gain confidence in selecting and executing the suitable statistical tests for their data.

Are you ready to transform messy datasets into clean, structured insights? This workshop introduces you to dplyr -- a powerful R package for data manipulation.

Through practical examples, you’ll discover how to:

• Combine multiple operations seamlessly with pipes

• Select and arrange columns and rows for clarity

• Filter and group data to uncover patterns
• Summarize and transform datasets for analysis

Whether you’re a beginner or looking to sharpen your skills, you’ll have the confidence to manage data like a pro and streamline your analysis by the end of the workshop. 

Data are often stored in tables or databases, which provide information about size and variable types but reveal little about underlying patterns. This online workshop introduces graphical and numerical techniques to uncover data structure and summarize distributions effectively.