What is this guide and who is it for?¶
The information in the guide is primarily intended for:
Instructors who either currently are or will be teaching a course using the DataHub (Campus JupyterHub).
Students who are enrolled in courses using DataHub and want to learn about the tools and resources available for them.
How should I use this guide?¶
The information is divided up into seven sections:
- DataHub Technologies
- Guide to familiarize you with the DataHub platform and its essential tools.
- DataHub Workflows
- This section covers information around creating, distributing, and grading assignments.
- Support
- Information on who to reach out to, feature pilots, and troubleshooting common questions and issues encountered by DataHub users.
- Resources for Students
- Curated resources tailored for students enrolled in DataScience courses.
- Modules and Connectors
- An overview of the different course types using the DataHub.
- Creating a Connector
- A guide to the pre-course set-up for a Connector course.
- Creating a Module
- A guide to the pre-course set-up for a Module.
The first time you read through the material, you might go through the topics in order. After the first read, you could refer back to specific sections when seeking answers to questions. Try using the search bar to look for answers!