Super Hero “Data Scientist”?

This series of articles consists of 4 main chapters and this article is “Who Is A Data Scientist, What Is It, What Does It Do?” is the first(fun part) of the series.

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Note: As you will read below, I tried to make similarities between them. I know that someone with an academic background should have gone technically based on data rather than saying this is the result directly, but the purpose of this article is to completely warm up and prepare for the next article of this series.

Let’s start…

I tried to write the subject of the Data Scientist, which is not known to be of much value and what is known by other countries except America, Canada and to a lesser extent the UK, in a way that I hope will attract attention in a different way.

I wanted to write you a fun and educational article about the most talked about fiction movie / series of recent times and the characters I like very much. I hope you will take advantage of it, have fun reading and understand its importance once again.

Mandalorians are fictional people associated with the planet Mandalore in the Star Wars franchise created by George Lucas. First conceptualized for The Empire Strikes Back as a group of white-armored “supercommandos”, the idea developed into a single bounty hunter character known as Boba Fett. Although the term “Mandalorian” is never used in the films, the popularity of Boba Fett inspired an extensive number of works about Mandalorians in the greater Star Wars franchise.

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A movie series derived from the Star Wars series, concentrated on a single Mandalorian that emerged out of them.

We see this character as a very powerful, invincible and legendary person who lived in the past in the series, and at the same time will never regain his former reputation. In other words, he is reborn from his servants and his value is becoming known. The Mandalorian is not actually a super hero in the first place, but with the work he does, he is starting to become a super hero. And as the series continues, it shouldn’t be too hard to predict that the savior of the good enemies will turn into a fearful dream superhero.

We can say that this character is very similar when we look at the current state of the Data Scientist. For example, its value is still unknown but it is entering an increasing trend. In addition, as his roles in the institutions and companies he works for increase, he revives the institutions he is in. It should not be too hard to predict that it will be a profession that will be indispensable for all small institutions and organizations in the future.

Let’s try to make an analogy to another character, Iron Man:

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Iron Man is a fictional superhero appearing in American comic books published by Marvel Comics. The character was co-created by writer and editor Stan Lee, developed by scripter Larry Lieber, and designed by artists Don Heck and Jack Kirby.

Iron Man is the persona from the editorials of the fiction films and most people see as the Super Hero, inherited from his family and trying to use the wealth he earned through his own efforts in technological and useful businesses. We can clearly see how he develops himself in every part of his films, how he strengthens him from his development, how he easily resolves every problem that comes to him, thanks to his technological equipment and software.

This character also has a lot in common with the Data Scientist. For example, it should not be too hard to say and predict that there are financially strong institutions or organizations behind the data scientist to support and that most departments can easily do their jobs with some hardware and software that can be easily accessed from here. In fact, we can confirm and see by Data Scientists that the more equipped the Data scientist is, the more work he will handle.

For now, let’s try to give a little scientific perspective by saying enough fictional films are enough. And I will try to share this with you in my next article.

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My next post will be about “Becoming a Data Scientist the Master of Data”. See you as soon as possible …

Do not forget!

“In life, the most real guide is science … MKA”

“and you can explain this with data… MA”


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Experienced Ph.D. with a demonstrated history of working in the higher education industry. Skilled in Data Science, AI, Deep Learning, Big Data, & Mathematics.

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