Take a self-paced module or watch and review previously recorded library workshops on the topics listed below.
Library Research Skills
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 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 of activities.