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Data Science Lifecycle

The Data Science Lifecycle Process is a set of prescriptive steps and best practices to enable data science teams to consistently deliver value. It includes issue templates for common data science work types, a branching strategy that fits the data science development flow, and prescriptive guidance on how to piece together all the various tools and workflows required to make data science work.

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