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Statistics

Our self-serve catalogue of research and innovation resources and supports

The Carpentries
The Carpentries builds global capacity in essential data and computational skills for conducting efficient, open, and reproducible research. The Carpentries project comprises the Software Carpentry, Data Carpentry, and Library Carpentry com…
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Introduction to R Online Course
Through a combination of videos, web pages, quizzes, and activities, this self-paced online course will provide an introduction to R using RStudio. The topics covered are importing and exploring data, graphs, managing data, tidyverse and R …
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Digital Scholarship Services at UTL
Digital Scholarship Services at the University of Toronto Libraries (UTL) supports research using digital methods and tools (e.g. text and data mining), and provides help with APIs.…
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Biostatistics Research Unit (BRU)
The BRU is a collaborative team of experienced statisticians providing biostatistical guidance to affiliated researchers throughout the life cycle of a project.…
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Toronto Regional Statistics Canada Research Data Centre (RDC)
The Toronto Region Statistics Canada Research Data Centre (RDC) is a secure computer lab where approved researchers can access and analyze confidential microdata from Statistics Canada surveys and administrative databases, including Census …
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SPSS Statistics
The SPSS software platform offers advanced statistical analysis, a vast library of machine learning algorithms, text analysis, open source extensibility, integration with other applications.…
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SAS
SAS is a powerful, feature-rich, statistical analysis program. It is used in a wide variety of disciplines.…
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Map and Data Library
The Map and Data Library offers a rich and diverse set of supports and services related to maps, datasets, microdata, data visualization, statistics, geospatial data portals, research data management, and more.…
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R
Open source software environment for statistical analysis.…
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