Data Science???😓😓😑
Worried about the terms like Data Scientists, ML Scientists, NLP Researchers blah blah....!!!Don't worry!!!
Lets make a career towards Data Science all together...
In this article we will explore the terms in simple way!!
What is data science?
A broad definition
What is data science? A broad definition would be something like this:
You have a large amount of data and you’re trying to extract something smart and useful from it.
That’s abstract, I know… Maybe a bit of an oversimplification, too.
So here’s an everyday example to help you understand it.
Note: It’ll be an everyday example intentionally, but read it carefully and you’ll see the business parallels, too!
Okay, let’s see it!
Data science is growing rapidly in these fields…
Data science, of course, conquered the world of online businesses first.
Why online businesses? Because that’s the #1 place where you can collect data about every single movement of a user. (Some companies, of course, abused this opportunity. But again: we won’t dive into the legal and ethical aspects in this article.)
Also, parts of data science have been present in different social sciences for decades!
And in the last few years, it’s started to gain a foothold in fields like:
- manufacturing/production
- agriculture
- logistics
- politics
- automotive
- and more…
What is data science? From the aspect of the skills you need to do it…
If you have ever read my blog, I’m sure you’ve seen this Venn diagram:
I show it quite often — and it’s really important.
It says that if you want to be a data scientist, you have to be good at three things:
- Statistics
- Coding
- Business
Lets explore these terms in detail in the upcoming posts!!!
Thank you
Praveen
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