Here’s an interesting definition of a data scientist on the web: “A data scientist is someone who is better at statistics than any software engineer and better at software engineering than any statistician.” In addition, we’ve added links for best tutorials to get started on your data scientist path. In this article, you’ll find the most recommended learning path to become a data scientist. Rest assured, automated programs aren’t going to make data scientists obsolete anytime soon. Just ask early adopters such as Facebook, Amazon, and LinkedIn. Although not as many companies as should be are relying on data-driven decision making, by the turn of this decade, analytics will have taken over. Organizations are still falling over themselves trying to hire data experts who can harness the power of data to hasten the data-to-action process. And, irrevocable changes in the way businesses are run have spawned loads of analysts and number crunchers to “manage” data and predict successful future strategies and outcomes. However, new possibilities have opened up new frontiers owing to the huge volumes of data that keeps piling up. Until the end of the last decade, the word “data scientist” hardly existed. The sexy job in the next 10 years will be statisticians, and I’m not kidding.” – Hal Varian, chief economist at Google In the last 5 years, data scientists have come to the rescue by trying to make sense of it all. Our digital lives have created an overwhelming flood of information. “Today’s world is drowning in data and starving for insights.
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