Data Science is one of the hottest job of the 21st century. But is it easy to be a data scientist , and the answer is it’s not hard. But here are some of the things that one need to avoid to be a bad data scientist :
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Focus on tools rather than business problems :
Yaa tools do matter, but what is even more important is the problem you are working on, it should be the basis of all your decisions.
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Planning communication last :
Communication helps in getting various insights about our ideas and hence help in improving our approach to handle a particular problem.
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Data analysis without a question / plan :
Data without a plan or motive is useless and we often end with more of the things we don’t need than the things we really need.
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Don’t read enough :
This is a mistake that everyone makes, to be updated with the recent development tends helps in constantly improving our skill set and hence benefits the organization.
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Fail to simplify :
Data Scientist generally fail to maintain the core idea behind their product and hence end upwith something which is much complicated for the end users.
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Don’t sell well :
The job of data scientist doesn’t end with creating the product , he must know how to sell it, how to reach to the end users.
You can read more at http://ucanalytics.com/blogs/6-worst-mistakes-for-data-scientists-and-how-to-avoid-them-explained-with-quotable-quotes/
