Take a self-paced module or watch previously recorded workshops on the topics listed below.
Library Research Skills
Would you like to get CCR credit for the Library Research Skills modules?
If so, 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 U of T 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.
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.
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.
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.
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
- Creating Variables
- Managing Data
- R Markdown
Time commitment: Approximately 2 hours.
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.
This open course provides U of T faculty, students, and staff with a general overview of copyright through seven short, self-directed instructional modules. These modules are intended to help the U of T community ensure that their professional activities comply with Canadian copyright law.
Time commitment: 10 minutes per module.
Learn how to find and access books and articles in LibrarySearch, U of T Libraries' new library search platform.
Duration: 27 minutes
We understand that sometimes plagiarism can be unintentional and we want to help you develop strategies and tools to recognize the ways in which plagiarism can be prevented. Setting you up for success for this new academic journey is what we are here to do!
Join us for a virtual workshop where we will discuss:
- Smart Strategies
- Style Guides
- Citing in Academic Writing
- Reference Software Management
- And much more!
Duration: 1 hour, 40 minutes
A network is a way of specifying relationships among a collection of entities. Networks come up in a variety of situations; for example, they can describe relationships between characters in literary works, how authors cite each other in a particular discipline or how people interact on social media. Through a combination of lecture and activities, this 2-hour workshop will provide an introduction to network analysis and visualization using a free, open-source tool called Gephi. For our examples, we will be starting with smaller networks, looking at relationships between characters in the play Romeo and Juliet, and movie actors that work together on the same films.
Workshop Files (to download as a .zip file)
After taking this workshop, participants will be able to:
- Recognize networks and situations that call for network visualization and analysis
- Use appropriate terms to describe networks
- Understand network data formats, and format data for use in Gephi
- Use Gephi to load, visualize, analyze, and publish network graphs
Duration: 1 hour, 45 minutes