My reasons for sharing data science content and my personal thoughts on doing so
Hello. I'm Nomuo😎
In this post, I'm going to write candidly about why I share data science-related content and my personal thoughts on doing so.
The reason I started studying data science is written in the note below, so please feel free to check it out.
(I've made it paid content because it's embarrassing, as I wrote quite candidly about my struggles in my 20s. Sorry about that.)
The reason I share information about data science is, in a word,
to convey the fun and usefulness of data science.
I want to reach people who are already using data science in their work,
as well as those who aim to become data scientists in the future.
To that end, I write explanatory articles for beginners in machine learning.
Also, even for those who are currently not familiar with data science at all or have no interest in it,
"What kind of things does data science do?"
"What kind of things can data science be used for?"
"What kind of value can be created by utilizing data science?"
I want to convey these kinds of things through my outreach activities.
My fundamental belief is that not everyone needs to understand difficult mathematical formulas or programming,
or be able to do data science with their own hands.
"Knowing it as a form of general education is enough." That is what I believe.
Work is basically divided into roles, and
I believe it is fine as long as I can team up with a data scientist to create value.
(Of course, it would be even better if I could do it myself.)
Also, for people who had no interest in data science at all,
I even harbor a small delusion that they might become interested through my posts? 😎 lol
On the other hand, when I look at the information surrounding data science in the world, it is overflowing with explanations of difficult mathematical formulas and programming books, which is information for people who want to do data science thoroughly themselves.
In that sense, there is no need for me to share information on difficult mathematical formulas or programming (there are many people who know more than I do), and if anything,
・Failures and lessons learned from starting to use machine learning at work
・How to find themes where machine learning should be utilized
・Methods I found to be cost-effective as a result of completely self-studying machine learning
like that,
“information that I think is good to know as general knowledge”
I think the real value lies in articulating it in an easy-to-understand way based on my own actual experience.I believe.
Therefore, I am articulating and sharing it in the form of a paid note.
(Sorry. I don't have the ability to publish a book yet...)
I am good at articulating things, so I am proud that this is 'my own way of providing value' after completely self-studying data science and using it alone at work for four years.
And the last thing I want to tell you is,
that thanks to all of you, I am able to enjoy my activities of sharing information.
The reason I currently dedicate almost all of my free time to content creation is
simply because it isinteresting and fun.
Thanks to everyone who gives me likes and comments on X,
who trusts me enough to subscribe to my note,
and furthermore, who gives me a 'high rating' after subscribing, I am able to work hard on my content creation activities like this today.
While I cannot know the details of what exactly was good,
I am extremely happy that I was able to be of some help to someone,
and it has become the driving force behind my efforts.
Throughout my limited time in life, I have always wanted to be useful to others,
and I have always wanted to be useful to many people rather than just within my company.
Honestly, I admire people like YouTubers.
While holding onto that admiration, I want to continue my own style of content creation with all my might,
and above all, I sincerely hope that through my content, I can be of some help to all of you.
That is all from Nomuo 😎