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 :

 

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.

 

Communication helps in getting various insights about our ideas and hence help in improving our approach to handle a particular problem.

 

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.

 

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.

 

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.

 

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/