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

data , data analyst , data science , data scientist

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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Teaching Data Science to Kids – The “Junk Box” and Classification Algorithms

Data Science, Kids, Teaching

In Silico Biology

I don’t hide that I love to teach kids. If I wasn’t a biologist or a data scientist, teacher would probably by my 3rd choice. There something fun in seeing the eyes of the kids spark when they get a concept and learn a new idea.

Recently I’ve been challenged by friends on how to explain data science concepts to very young kids. Sure the mathematical and computacional knowledge they have is pretty limited but that doesn’t mean it’s impossible to teach them new concepts. You just have to change the way you teach them.

Challenge accepted! Get your junk drawer of office supplies! It’s time to teach the kids about classification !

ok, not really a drawer 😛 but let’s try with these two cups

So what are classification problems?

Classifying objects, animals, books, food…..is part of the human experiment. Explaining to the kid that  the computer first defines…

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The Types of Data Scientists You Might Meet

Data Science, datascience, Data Scientist, machine learning, me, My Journey, neural netwirk, neural network, the start, weights

Sam's Blog

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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Dataphilia

Learning , Data Science

powerbinerd

Love for Data

I am the master of my fate – and the captain of my destiny | Nelson Mandela

If a man neglects education, he walks lame to the end of his life | Plato

While pursuing a career in Data Science – or for any field for that manner – a few things are important to notice. As Data Science has been called “the sexiest job in the 21s century”, many people want to learn it and (in my opinion) earn more money. But why is learning Data Science nothing different than learning to be an engineer, car repair man, doctor, lawyer, etc.?

For me the main factor is: ‘Do what you love’. This means, you should do what interests you, what makes you wake up in the morning all excited and full of energy. And that is data for me. My entire life I have been, unknowingly…

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