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Applying Agile Framework to DS Projects

Applying Agile principles and values to DS projects

Project management methodologies are commonly used to get projects done or a product (or referred as a tool) produced. They are, in general, processes and frameworks which break down the overall objective to individual tasks organised on a timeline. This can be adapted to approach data science projects. Agile is going to be adopted by more DS project teams in the near future. Many data scientists have reported that Agile makes them more productive. This is not because the data scientists have become more skillful, but because Agile can help them optimize their projects. Instead of spending time on models that are unlikely to reveal any productive results, it is better to spend that time for other result-driven purposes. Read more:

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