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Data Science Projects are initiated by organizations with a specific goal and the sponsors of such projects would want a timeline in which the results need to be achieved. Data Science projects are unique when compared to regular software development projects in that

  • Working through large sets of data would require significant elapsed time.
  • The number of iterations of analysis-review-feedback-analysis loop is not fixed. It may extend until significant results are achieved.
  • Data Science projects might not provide significant results at all (if the data has no signals to predict the target)

I am interested in knowing how others 

  • Estimate Data Science Projects
  • Plan and track to the plan
  • Communicate to and convince the sponsors.



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Found an interesting topic around this link

And this link

I just wrote something about the use of data profiling prior to committing to budget and schedule



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