Spotlight on Self-Paced Courses on Data Visualization

Student watching a lecture on their laptop
Last modified
Dec 8, 2025

Did you know that in addition to the Map & Data Library's live workshops and past workshop recordings, we also offer a number of self-paced online courses, that you can self-enroll and take at any time using your UTORID? They are built in Quercus and consist of short videos, quizzes, activities, and resources that you can explore.

Three of these courses focus on data visualization:

  1. Data Visualization - An Introduction (Part 1 – Theory and Critique)

    Through a combination of lecture and activities, this self-paced online course will use a data visualization workflow model to introduce participants to best practices and guidelines for designing effective visualizations and evaluating visualizations. There will then be an activity to apply best practices to critique visualizations. For more information on Data Visualization, including topics covered in the course, and services offered by the libraries, see our Data Visualization Guide
     
  2. Data Visualization - An Introduction (Part 2 – Practice with Tableau)

    Through a combination of lecture and activities, this self-paced online course will introduce participants to a common data visualization tool, Tableau. Participants will learn to create a variety of visualizations such as a line graph of profit 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.

  3. Introduction to Infographics

    Through a combination of lecture and activities, this self-paced online course will introduce participants to best practices and guidelines for designing effective infographics and evaluating them. Participants will get a chance to go through the entire design process of an infographic, from determining the story, sketching the layout, choosing appropriate data visualizations, selecting fonts and colours, and finally using a common online infographic creation tool called Piktochart, to implement the design and create a finished infographic. For more information on Data Visualization, including topics covered in the workshop, and services offered by the libraries, see our Data Visualization Guide.

These are great opportunities to continue learning during the holiday break! Check them out!