Standardize, test, document, and version: software skills that turn data science from solo work into teamwork.
Data science is no longer solo work, but teamwork, and discipline is what enables better collaborative work. In this UMBC Data Science Speaker Series talk, I share how software development skillsets accelerate a data scientist's ability to deliver: standardized project templates, version control for code and data, testing with pytest and pandera, portable environments with containers, and documentation that lets any teammate jump onto any project. Everything is drawn from lessons at work.
Slides are available here.