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I provide an overview of the data science workflow and highlight some challenges that data scientists face in their work.
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@luiy. Great article about #DataScience: the workflow design, methods and problematics.
What do data scientists do at work, and what challenges do they face?
This post provides an overview of the modern data science workflow, adapted from Chapter 2 of my Ph.D. dissertation, Software Tools to Facilitate Research Programming.
The figure below shows the steps involved in a typical data science workflow. There are four main phases, shown in the dotted-line boxes: preparation of the data, alternating between running the analysis andreflection to interpret the outputs, and finally dissemination of results in the form of written reports and/or executable code.