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The typical #lifecycle of a #datascience project involves jumping back and forth among various interdependent data science tasks using a variety of #datascienceprogramming tools. #cloudcomputing #datamining #datacleaning #modeldeployment #dataexploration #datavisualization

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There are several programming languages to do #datascience but the battle for a good #datascienceprogramming language always narrows down between #Python and #R. It's a key question for many #datascientists whether to choose Python or R - goo.gl/7988Nf

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