Data Sciences Hub resources
The Data Sciences Hub is a multidisciplinary and still-evolving community of researchers working across the broader data science community. Its website is at icds.psu.edu/research/hubs/data-sciences.
This page collects learning materials that members of the Penn State community have tried and found useful for statistics, machine learning, data management and curation, visualization, reproducible analysis.
No entries yet
This hub is new to the repository and has no entries so far. That is an invitation, not a gap. If a course, tutorial, tool, book, or talk helped you get up to speed, please add it. One entry is enough to start the page, and a maintainer will set up the category page for you if it does not exist yet.
The AI Hub shows what a filled-in hub looks like.
What goes here
Anything that helped you learn: a structured course, a short how-to guide, a tool you now use daily, a book worth the time, or a recorded talk that made an idea click. Entries can be beginner-level or advanced. Negative reviews are welcome too, since knowing what did not work saves colleagues time.
See the category list for how entries are grouped.
Add the first entry
You do not need to be an expert to contribute, and you do not need to be comfortable with GitHub. Full instructions are in CONTRIBUTING.md. In short:
- Comfortable with GitHub? Open a pull request against this hub’s resources folder, using the entry template.
- Prefer a web form? Open a GitHub Issue using the “Suggest a resource” template and choose this hub.
- Rather not touch GitHub at all? Email the details to
icds@psu.eduwith the subject line “ICDS Upskilling Learning Repository: Suggestion”.
A title, a link, a couple of tags, and one sentence about how useful you found it is plenty.
Looking for another subject area? See all five ICDS hubs.