Reproducible Research: This series of workshops introduces tools and practices for conducting reproducible research with quantitative data. Topics covered include principles of open science, using Git for version control and GitHub for collaboration, and best practices for project management. Workshop participants will improve their ability to build reproducible research workflows through hands-on exercises and examples drawn from real-world datasets. This series is designed to improve researchers' efficiency, productivity, and collaboration by strengthening foundational data science practices.
For more info visit Reproducible Research Class Homepage.
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