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Workflow of a Data Scientist

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The process of analyzing and acting upon data is iterative rather than linear, but this is how the data science lifecycle typically flows for a data modeling project:

1. Planning

Define a project and its potential outputs and how you are going to get it.

2. Building a data model




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