It has — perhaps somewhat prematurely — been called the sexiest job of the twenty-first century, but whether you buy into the Big Data hype or not, data science is here to stay.
The available literature, the majority of courses in both the virtual and real world, and the media all purport the image of the data science ‘artiste’: a data bohemian who lives among free, like-minded spirits in lofty surroundings, who receives sacks of money in exchange for genuine works of art created with any possible ‘cool’ tool that flutters by in whatever direction the wind is blowing that day.
The reality for many in the field is quite different. Corporations rarely grant anyone unfettered access to all data, and similarly they are not willing to try and buy every new tool that hits the market, simply to satisfy someone’s curiosity. Furthermore, industrial data science has requirements that are much stricter than what is commonly taught in programmes around the world, and it’s time to make the case for industrial data science. Continue reading