Data Science Collaboration

Created for demo purposes.

This repo contains a collection of resources for data science collaboration. The goal is to provide a set of resources that can be used to help aspiring data scientists collaborate with each other and with other stakeholders.

Best Practices

For data science collaboration, the following best practices are recommended:

• Use a version control system to track changes to code and data.
• Review code and data changes using a pull request (PR) process.
• Test for statistical significance and practical significance.
• Summarize insights and findings in a report for future reference.

How to Collaborate

Create PRs for review, both for drafts and for final versions. This will allow for comments and suggestions to be made inline with the text.

License

Code is licensed under the MIT License.

Datasets Licenses

StackOverflow survey data is licensed under the Open Database License.