I just ran across this very helpful index of text analysis and processing tools from the UT Scarborough library. Many of the tools mentioned have a web interface. Some have been deprecated, but I think it is still worth a look! https://find.digital.utsc.utoronto.ca/text_analysis. Please reach out if you know of a more current or comprehensive index.
Constellate has now added 44 of their most-demanded instructional sessions to their YouTube channel: https://www.youtube.com/@Constellate_org. Check them out if you are looking for a way to start applying text analysis techniques to your research problem!
Worth a look if you are on the market for free access to training resources : https://education.github.com/pack?sort=popularity&tag=Learn. You can find the filtered list of educational offers halfway down the page.
This inventory of digital humanities workshops prepared by H-France may be of interest to those looking for learning content to replace the soon-to-be discontinued series at Constellate: https://h-france.net/h-france-dh-workshops/
Here is a hot-off-the-presses notice about this year’s edition of the Text Analysis Pedagogy Institute. It is free to attend, and workshop attendance now permits participants to claim a badge!
Unlock the Power of Text Analysis with TAP Institute
Are you looking to elevate your research skills and dive deep into the world of text analysis? The TAP Institute by Constellate offers an exceptional opportunity for scholars, educators, and data enthusiasts to gain expertise in text analysis and pedagogy.
What is TAP Institute?
The TAP Institute provides comprehensive training through expert-led sessions and practical experience. Participants will explore advanced text analysis techniques, access rich datasets, and join a vibrant community of like-minded professionals dedicated to digital scholarship.
Why Join TAP Institute?
Ready to Enhance Your Skills?
Visit the TAP Institute page to learn more and register for upcoming sessions. Don’t miss this chance to advance your career and join a community committed to innovation in text analysis.
Start your journey with TAP Institute today and transform the way you approach research!
I just ran across this user group that might be of interest to those of you who are dealing with the technical challenges of using open-source/freeware research tools: Ottawa PC Users’ Group. As per the group’s History page, this group was founded in the pre-World Wide Web era of restricted Internet access were peer-support was an important factor in gaining access to software, training, and connectivity. I would encourage researchers to think about user groups that might be pertinent to their work; downloading software is easy today but training is extremely expensive and operating systems often introduce glitches that are not present in controlled lab environments.
If anyone is looking for a publicly certified data literacy course, I would recommend checking out the offering from SAS: SAS Training: Data Literacy Essentials. I know that there is a bit of a gap between statistical literacy and data literacy, but at least learning the jargon will stand a person in good stead for the next 5-10 years.
There are a lot of data literacy and data science courses available online. I am sure you have your own favourites! I was impressed today to learn that the courses on CoginitiveClass.ai are both free and grant users Credly badges on completion. Academic students of data science typically don’t worry about certifying their programming skills. However, hiring managers don’t have the time to read through a paper to find out if the author used sophisticated quantitative skills or not. So get certified! And ask probing questions about applicants’ skills profile (if you are hiring)! It takes a lot of work just to find the appropriate online learning resource. Just because applicants don’t have a sticker on their CV doesn’t mean they haven’t taken training in using a program.
Employers need to think about digital skills as a type of human capital that they have to invest in to maintain. This also means that digital skills capital has to be developed in the first place, just like other types of capital. Employers can’t expect to ‘buy’ digital skills capital off-the-shelf. If a business was purchasing a new building or a new IT system from a contractor, they would still be involved at the design phase and have a refit or implementation plan. How can we expect human capital (employees) to have plug-and-play digital skills that employers can secure in bulk on the open market? Gen Z workers are not tech-savvy in the workplace – and it’s a growing problem – WorkLife
Lucas Jerusalimiec 