How simple is Data Science?
Sometimes when you hear data scientists shoot a dozen of algorithms while discussing their experiments or go into details of Tensorflow usage you might think that there is no way a layman can master Data Science. Big Data looks like another mystery of the Universe that will be shut up in an ivory tower with a handful of present-day alchemists and magicians. At the same time, you hear about the urgent necessity to become data-driven from everywhere.
The trick is, we used to have only limited and well-structured data. Now, with the global Internet, we are swimming in the never-ending flows of structured, unstructured and semi-structured data. It gives us more power to understand industrial, commercial or social processes, but at the same time, it requires new tools and technologies.
Data Science is merely a 21st-century extension of mathematics that people have been doing for centuries. In its essence, it is the same skill of using the information available to gain insight and improve processes. Whether it’s a small Excel spreadsheet or 100 million records in a database, the goal is always the same: to find value. What makes Data Science different from traditional statistics is that it tries …