Data analyst & scientist

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Which job is better for career wise and growth wise?
May 16 in Career Counselling by prakash
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2 answers to this question.

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Hi Prakash,

You read this blog for the difference between data analyst and scientist,

https://www.edureka.co/blog/difference-between-data-scientist-and-data-analyst/

answered May 16 by Cherukuri
• 17,630 points
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Hey Prakash, Data science is an umbrella term for a group of fields that are used to mine large data sets. Data analytics is a more focused version of this and can even be considered part of the larger process. Analytics is devoted to realizing actionable insights that can be applied immediately based on existing queries.

Data science isn’t concerned with answering specific queries, instead parsing through massive data sets in sometimes unstructured ways to expose insights. Data analysis works better when it is focused, having questions in mind that need answers based on existing data. Data science produces broader insights that concentrate on which questions should be asked, while big data analytics emphasizes discovering answers to questions being asked. More importantly, data science is more concerned about asking questions than finding specific answers. The field is focused on establishing potential trends based on existing data, as well as realizing better ways to analyze and model data.

answered May 21 by Pratibha

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