It is no surprise that data scientist is an extremely popular career path today. This is in part due to a combination of reports that were published in the early 2010s.
Everyone has been determined to build the next-generation workforce of data scientists to shrink the predicted gap between the upcoming demand and the estimated supply.
Over this last decade, many of these aspiring data scientists have achieved success, but some have not. We can look to the differences between those who succeeded and those who did not to see patterns that can teach us valuable lessons.
If you are hoping to become a data scientist, here are ten mistakes to avoid.
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