Skip to main content

Self-paced modules and recorded workshops

Take a self-paced module or watch previously recorded workshops on the topics listed below. 

Self-paced modules

Library Research Skills

Would you like to get CCR credit for the Library Research Skills modules? 
If yes, complete the CCR edition.

This series of six modules will introduce students to foundational library skills that will help in many university research assignments. Each module is a stand-alone resource. They can be completed in any order, all at the same time, or individually as needed. Topics include:

  • Module 1: Introduction to U of T Libraries - Learn the basics about the libraries
  • Module 2: Start Your Research - Learn how to get started with your library research project
  • Module 3: Select Your Sources - Learn how to find the best sources for your assignment
  • Module 4: Search Tools - Learn how to find the best search tools for your assignment
  • Module 5: Search Effectively - Learn how to search effectively 
  • Module 6: Evaluate Your Sources - Learn how to evaluate sources properly

Time commitment: 30 minutes per module.
 

Introduction to Data Visualization – Part 1: Theory and Critique

Through a combination of videos, web pages, quizzes, and activities, this self-paced online course will use a data visualization design workflow model to introduce participants to best practices and guidelines for designing effective visualizations and evaluating visualizations. For more information on Data Visualization, including topics covered in the course, and services offered by the libraries, see our Data Visualization Guide.

Time commitment: 1 hour, 15 minutes. There is an additional 1 hour, 30 minutes (approx.) of activities.
 

Introduction to Data Visualization – Part 2: Practice with Tableau

Through a combination of videos, web pages, quizzes, and activities, this self-paced online course will introduce participants to a common data visualization tool, Tableau Desktop. Participants will learn to create a variety of visualizations such as a line graph of profits over time by product category, a box plot of iris petal widths by species, and a stacked bar graph of word frequencies in Romeo and Juliet. For more information on Data Visualization, see our Data Visualization Guide.

Time commitment: 2 hours. There is an additional 1 hour (approx.) of activities.
 

Working with Messy Data in OpenRefine

Through a combination of videos, web pages, quizzes, and activities, this self-paced online course will provide an introduction to OpenRefine, a powerful open source tool for exploring, cleaning and manipulating “messy” data. Through demonstrations and hands-on activities, using a variety of datasets, participants will learn how to explore and identify patterns in data, normalize data, transform and reshape data, and more.

Time commitment:  Approximately 1 hour, 15 minutes. There is an additional 1 hour (approx.) of activities.
 

Introduction to R

This course is broken down into multiple sequential modules that consist of videos, activity and quizzes. The following topics are covered:

  • Data types and Data structures
  • Importing and Exporting data
  • Exploring Data
  • Graphs
  • Creating Variables
  • Managing Data
  • Tidyverse
  • R Markdown

Time commitment: Approximately 2 hours.
 

Navigating the COVID-19 Evidence Landscape

This module is intended to: 
1. Describe different types of information sources and the evidence processing involved in creating them
2. Understand the unique special considerations to be aware of when searching for and using evidence for Covid-19

Time commitment: 30-45 minutes.

 

Recorded workshops

Getting Stared with LibrarySearch

Learn how to find and access books and articles in LibrarySearch, U of T Libraries' new library search platform.
Duration: 27 minutes