add uw-milwaukee videos for text analysis

Author: qualiaMachine

Learn/Workshops/Intro-TextAnalysis_Python.qmd

@@ -31,7 +31,9 @@ This workshop takes approximately 16 hours to complete.
 The Carpentries is a global organization of researchers who volunteer their time and effort to create workshops that teach software engineering and data analysis skills to other researchers. UW-Madison has its own [local Carpentries community](https://datascience.wisc.edu/uw-madison-carpentries-community/) which is actively engaged in developing new ML/AI workshops. To be notified of upcoming workshops offered by the Carpentries, make sure to subscribe to the [Data Science @ UW Newsletter](https://datascience.wisc.edu/newsletter/). 
 
 ### Alternatively, work through the materials independently!
-All Carpentries lessons are published as open source educational materials. You are welcome and encouraged to visit the [lesson materials](https://carpentries-incubator.github.io/python-text-analysis/index.html) to work through them on your own. If you are involved with a research lab at UW-Madison campus, you may attend [Coding Meetup](https://datascience.wisc.edu/hub/#dropin) (Tue/Thur, 2:30-4:30pm) to get help working through the materials.
+All Carpentries lessons are published as open source educational materials. You are welcome and encouraged to visit the [lesson materials](https://carpentries-incubator.github.io/python-text-analysis/index.html) to work through them on your own. Our friends at UW–Milwaukee have also published [recorded walkthrough videos of this workshop](https://guides.library.uwm.edu/carpentries/TAP-lesson1) that you can follow along with asynchronously. This is a great option if you prefer learning at your own pace or want to revisit the material after participating in a live session.
+
+If you are involved with a research lab at UW-Madison campus, you may attend [Coding Meetup](https://datascience.wisc.edu/hub/#dropin) (Tue/Thur, 2:30-4:30pm) to get help working through the materials.
 
 ### See also
 - [**Workshop**: Intro to Deep Learning with Keras](https://uw-madison-datascience.github.io/ML-X-Nexus/Learn/Workshops/Intro-Deeplearning_Keras.html): Explore deep learning concepts in greater detail. This will help you better understand the technology (neural networks) needed for Word2Vec and large language models.