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How would you roughly list the different data science specialties that data scientists can have? How common are they among data scientists?

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The real worls challenge is very different!! Data scientist most of the time goes into preparing for data and that can go up as high as 80%-90%. if we need to predict the 2019 elcection outcomes, we can have the most accurate model but data is going to be crucial. Art of preparing data thats feature...
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The real worls challenge is very different!! 

Data scientist most of the time goes into preparing for data and that can go up as high as 80%-90%. 

if we need to predict the 2019 elcection outcomes, we can have the most accurate model but data is going to be crucial. Art of preparing data thats feature engineering is the crucial skill that future data scientist needs to master. Today the data transformation experts are not there in the market i would say. thats the key in the future. 

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