Welcome to the Statistical Consulting and Survey Research Unit

Serving the University of Waterloo community and beyond since 1999

The Statistical Consulting and Survey Research Unit (SCSRU) is a joint unit at the University of Waterloo comprised of the former Statistical Consulting and Collaborative Research Unit and the Survey Research Centre. The SCSRU offers the same services as its predecessors and is a cornerstone to excellence in survey research and statistical analysis at the University of Waterloo.

The SCSRU provides statistical advice to those working on research problems, in addition to offering a full suite of survey research services that include survey methodology and sampling frame consultation, questionnaire design, programming, data collection (telephone, web, mail, face-to-face, and mixed mode surveys), sample weights, and data analysis. SCSRU services support clients to get accurate, meaningful results.

Our mission is to provide high-quality statistical advice and survey research services to the University of Waterloo Community and external institutions and organizations through our two service streams: Statistical Consulting and Survey Research.

Events

Tuesday, January 20, 2026 9:30 am - 12:00 pm EST (GMT -05:00)

Data Organization Made Easy with dplyr

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. 

Tuesday, March 10, 2026 9:30 am - 12:00 pm EDT (GMT -04:00)

Unlock the Power of Linear Regression

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.

What You'll Learn:

  • Fundamentals of regression models and their assumptions
  • How to interpret coefficients and conduct significance testing
  • Exploring interactions between variables and using dummy variables
  • Model-checking techniques, including residual plots and collinearity diagnostics
  • Methods for model selection

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