Data Science for Everyone with ISLE
summary
Carnegie Mellon’s ISLE is a browser‑based learning platform that shifts computation to the client via standard lib, uses continuous real‑time connections and Gypsy Meet for live collaboration, and logs every action with action logs so analyses are reproducible and human decisions can be studied. Hundreds of CMU students and beta users at other universities plus a UN pilot use sandboxes, collaborative reports and interactive journal supplements. Examples driving the design include the 29‑team variability study and the 82‑galaxy multimodality dataset.
AI-written summary · about
chapters (9)
- 0:00Intro
- 2:37Interacting with data science
- 4:46Early definitions
- 8:11Data science, a view
- 10:18The science of data science
- 25:48Carnegie Mellon University
- 27:47Integrated statistics learning environment (ISLE)
- 33:03What are we learning/researching?
- 36:38Takeaways
related talks
01h 00mData, visualization, and designing AI
25mRaising Heretics
42mInteractive Data Analysis: Visualization and Beyond
30mAt the Turn of the Tide – Teaching Python in Real-Time at Scale
20mDS.js: Turn Any Webpage into an Example-Centric Live Programming Environment for Learning Data ...
21mSupporting Social Good Through Community-Based Data Science Education
51mSpotlight on Emerging Data Science Worskspaces and Spark as Development Levers
07mData Intelligence