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This wiki collects information that is meant to be useful for Data Science connector courses, especially on the technical/computing side of things. It contains information for setting up your connector course, a bit about the technical infrastructure we're using, and teaching pointers to help in your pedagogy. There is also a collection of useful scripts for doing routine things, some example jupyter notebooks, and tutorials for you here (or click on the code tab above).
This guide is intended for connector instructors and course staff interested in creating material that uses the same technology infrastructure as the Foundations (Data 8) course.
Specifically, if you would like to use Jupyter notebooks and
optionally the datascience package (in python) in your course, this
guide is for you. Follow the links to the right to find this information.
This guide may also become the home for other info for connector instructors, such as tips on working with your connector assistants (CAs).
If you're interested in running the tutorials or examples for the connectortools module, click the image below to enter an interactive browsing session.
Some of the material is still under development. If you have a question, or a suggestion for something to add, please open an issue by clicking on the issues tab, then clicking new issue. Or if you're really not GitHub-savvy, feel free to ask your connector assistant to do that for you, or contact us (menu to the right).