Honestly, I don’t know. It’s probably a decade too early for me to become a Data ‘Scientist’.
I am writing this blog because people too often ask “How to become data scientist in a month?”
Here lies the real problem. Two actually:
Half of you wouldn’t even have done a single project in Data Science, yet.
How do I know? Simple, I was one of you.
Damn, I’ve been in lectures without even making an effort to know what that lecture is about!
PS : Not the smartest idea.
Let’s clarify the following terms:
Data Scientist is ridiculously thrown around. Ask a physicist what it would take him to be called scientist (partial insanity is just the beginning).
Data Science, currently, is majorly a research oriented field, yes. Doesn’t mean anyone working in it becomes a researcher, let alone a scientist.
You see, there are no shortcuts for gaining knowledge. You can just be smart about the learning techniques.
No tutorials can jump-start your career from novice to pro ( if there is then damn! I wasted life :/ )
You become a pro by mastering:
Claims like “Master Neural Networks in One Minute!” will give you an abstract idea about the working of it.
So you’ll be lost when you are tackling a real life not-so-mainstream problem as default settings won’t work.
Like me, when I used to read the abstract of a research paper and assume I’ve understood all the concepts.
PS : Yeah, the old me wasn’t that bright.
Irrespective how experienced you are, these will apply to you:
Well if you already have experience in this field then you very well know how a single idea can change the whole landscape.
This just highlights the fact that Data Science has more potential than one could fathom.
Take example of Reinforcement Learning. Most of the people I know think of RL as a game-play learning. They barely try to scratch their heads to apply this in text or vision paradigms.
RL is Goal-Oriented learning. Something like a customer support chatbot is perfect playground for RL is field of text. Where the goal could be anything from answering their queries to persuading them to buy a policy.
The harder you work the sweeter the fruit and longer you keep licking your fingers (you creep!)
This also increases one’s chances to ‘beat the odds’ or ‘defy the norms' (with motivational tunes in background).
As Freddie Mercury once said “do what you want to do …. just don’t make it boring”.
And
All the Best! :D