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!
Tag: data science
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GitHub Student Developer Pack
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/
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TAPI 2024
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?
- Hands-On Learning: Engage with real-world datasets and tools.
- Expert Instruction: Learn from leading figures in text analysis and pedagogy.
- Community Building: Network with researchers and educators from various fields.
- Whether you’re a seasoned researcher or just starting, the TAP Institute equips you with the knowledge and skills to excel in digital scholarship.
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!
Here is a handy introduction to the basic principles of machine learning: Supervised vs Unsupervised Learning – What’s the Difference?. While reading it I paused to wonder whether there is any way to use machine learning for analyzing causal relationships. Machine learning automates the creation and evaluation of models but it doesn’t identify confounding variables, to run robustness checks, etc. I imagine that the predictions based on ML results tend to be rather conservative since they extrapolate the present to the future, rather than use a series of past events to identify root causes. Please feel free to correct me if there are already ML tools that have causal research functionality!
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.
Lucas Jerusalimiec 