Search the Online Learning Catalogue
Showing 13–24 of 92 results
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Data Visualization Guide
Data Visualization is a broad term for things that uses graphical or pictorial representations of data for exploration, and communication. It is the graphic representation of information and data, by using charts, graphs, maps etc. Learn about the basics of data viz in this guide.
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Data Visualization with MATLAB
This asynchronous module discusses how you can create publication-quality figures using MATLAB or its free alternative, Octave. The module covers plotting options for one- and two-dimensional continuous and categorical data and explore options for customizing your figure’s appearance.
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Data Visualization with Tableau
You might not think of numbers and locations as Humanities data, but it all depends on how you use them! Working with numeric and spatial data, this online module will teach you how to create visualizations in Tableau.
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Data Wrangling with OpenRefine
In this workshop, participants will learn the basic principles of data wrangling, and will use a hands-on approach to gain fundamental knowledge and practical experience with exploring, cleaning, and transforming data into more interoperable and reusable forms.
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Depositing and Sharing Data Online with McMaster Dataverse
Are you thinking of sharing your data for re-use by other researchers? Have you been asked to share your data by a journal or funder? Are you worried about the long term accessibility of your data? This workshop will show you how to deposit your data on McMaster Dataverse for archival, preservation, and sharing.
Learn more about how openly sharing data can benefit you and the research community, and how online repositories are helping to improve the availability of research data.
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Design Principles for Infographics and Data Visualization
Juan Velasco, Founder and Creative Director of 5W Infographics, delivers a workshop series on data visualization. In the first session, Velsaco explains the importance of design in data visualization. This includes an introduction to visual perception principles which will ensure the creation of accessible and visually appealing data visualizations.
In the second session, participants will have the opportunity to practice applying their newfound design skills using visualization platforms like Tableau, Datawrapper, and Flourish.
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Digital Exhibits with Omeka S
Learn how to use Omeka S to manage digital collections and create scholarly exhibits. This tutorial will introduce participants to the basic functions of Omeka S, including how to create an archival item collection, add metadata, and build a digital exhibit.
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Digital Networking and You
404 Networking knowledge not found. Learn about how information is transmitted between computers at this workshop.
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Digital Tools in the Humanities and Social Sciences: A Research Roundtable
How can digital tools enhance and complexify research in the humanities and social sciences? At this research roundtable, ten scholars from McMaster University and Universite Grenoble Alpes share their work on Data, Social Media, and Teaching.
These presentations engage with a wide variety of approaches, disciplines, and research methods. Learn about how digital platforms sharpen students’ communication skills. Engage with the challenges of analyzing a massive digital database of e-petitions. See how GIS technology is reviving an ancient Greek city.
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Digitization
Digitization is the process by which hardcopy resources are made digital. This includes scanning, digitally photographing, and digitally encoding analog signals from magnetic tape and other recording technologies.
In this workshop, attendees will learn about digitization equipment and best practices for books, papers, photographs, sound, and video recordings from an archival perspective (which may not be sufficient for all research needs!) and what goes into post-digitization processing.
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EQ vs IQ: Testing Gendered AI in Apple’s Siri
Have you ever noticed that AI assistants tend to have female voices? According to Lai-Tze Fan’s research, this is no coincidence. In this lecture, Fan argues that this gendering of AI assistants is a new method in a long history of abstracting women and their bodies into labouring machines. When assessing such AI for human-like performance, designers are not looking for intelligence, but rather, for efficacy to get the job done—content production, menial task completion, and capital transactions—with a smile.
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Essentials of Open Data Sharing
Join the open data movement! Are you thinking about sharing your data? Have you been told by a journal or funder that you need to publish your data online? In this session, we will go over the benefits (and potential risks) of data sharing, and highlight some of the different data repository options available to you as a researcher.