Team Data Science Process project planning

The Team Data Science Process (TDSP) provides a lifecycle to structure the development of your data science projects.

The lifecycle outlines the major stages that projects typically execute, often iteratively:

• Business Understanding
• Data Acquisition and Understanding
• Modeling
• Deployment
• Customer Acceptance

For descriptions of each of these stages, see The Team Data Science Process lifecycle.

Contributors

This article is maintained by Microsoft. It was originally written by the following contributors.

Principal author:

• Mark Tabladillo | Senior Cloud Solution Architect

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Next steps

See Agile development of data science projects. This document describes a data science project in a systematic, version controlled, and collaborative way by using the Team Data Science Process.

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