Who is a Data Scientist? How does he differ from a Data Analyst?

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Data Journal Blog

Data Science is the fact of collecting, analyzing, and interpreting large amounts of data for driving insights, to help a business improve, using advanced technologies. A term coined by DJ Patil and Jeff Hammerbacher in 2008, as the first claims, to define their jobs at Linkedin and Facebook.

A Data Scientist is someone who is data-driven with high-level technical skills, capable of building complex algorithms using large amounts of data, to answer questions and drive strategy in the organization. The responsibilities and main tasks of a Data Scientist may vary from a company to another, depending on its size, its type, etc. The role of a Data scientist can include Data Collection, Cleansing, Analytics, and Data Visualization in a small company, just ML Algorithms in a big company, and all the below in a medium-sized company.

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But how a Data Analyst is different?

There is a lot of grey area with many job titles…

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The Types of Data Scientists You Might Meet

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Data Science is currently marketed as a skill/career that anyone can learn. If you can write code you can become a Data Scientist.

Ok, that is an argument for another day. However, because of this marketing and hype surrounding AI (Artificial Intelligence ), it is no surprise that I have crossed paths with Data Scientists coming from various backgrounds and we all have something different to offer. So what types of Data Scientist have I met?

  1. The one that is good at mathematics and can create new models (not that there is any time for that), so genuinely this person is undervalued and can do so much more but the company won’t let them. The academic.
  2. The one that likes talking about the math but does not necessarily understand it but people believe them anyways. He/she also keeps up to date with the latest AI news. They have an…

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