What, where, why and how to study Data Science

I just jumped into the water. Just like that. I haven't so much thought about that. I knew some basics about Big Data, but about Data Science not. It changed when I passed through one commercial enterprise Big Data solution introduction. It also contains Data Science role description and its contribution to development process.

Next step was reading many web discussion about it. And then finally read really good article Fake Data Science from Vincent Granville published in February 2013. It formed my opinion and it turned my way little bit different way than I was at first time. Simply said from more technical point of view to more business point of view. And it make sense if you would start to look on Data Science from right angle. What is result or what result do you expect (what's are business needs) and what path do you need to use to accomplish it?

The Beginning, actually The Inception

When it starts, when I realized that is more then enough with stay on spot and not moving forward in my knowledge, experience, learning, working role,..., career? Its few months ago, when I was working again many extra hours and developed solution which was interesting, but not satisfying me. From work point of view of course.

I am struggling many months, even few years with buzz word Big Data, I was laughing when I heard first time Data Scientist role name... I omit to learn anything about it, even to read something about it. But, you know, when you are fight against something the best think you can do is to accept it, especially if would not destruct you.

First I wanted to be Business Analyst. It is to hard for me to understand from scratch business which I have never studied in university. I am technical guy. I am learning business, but slowly, based on practical experience. Then I realized this is solution, to become someone else than ETL/DWH/BI developer. It was like real beginning, no actually it was inception.

And here I am, on the beginning of journey to become Data Scientist, never mind how noble it sounds and how abused role name it is.