Data Shinobi: 1 - The Fundamentals

With loads of content and hype about Data Science, Analytics and Big Data coming up every day, I felt compelled to share my journey and experiences in exploring this space. Here, I intend to begin a series of posts on the subject stripped it down to it's core (as I understand it) and than building upon it. While there are a whole bunch of directions these subjects could be approached from, I present here the path that I found most convenient to tread. I would like to call it the path of the'Data Shinobi' (another word for the'Ninja') where you understand and gain expertise in the techniques just enough and relevant to the task at hand unlike a seasoned'Data Scientist' who has mastered most of these techniques over many years. It must also be noted that when I mention the'Shinobi' it's in the context of the training that shinobi's underwent rather than their expertise and mastery over skills. To begin with, here's a list of 5 fundamental facts about Data Science which I discovered early on my journey: However, in most cases you have to wait for what feels like ages to get your data ready.