A Pocket Guide to Data Science

In a previous post I advised data scientists in training to build stuff. This post gets more specific. Here's what I mean when I say I'm doing data science. The raw stuff of data science is a collection of numbers and names. Measurements, prices, dates, times, products, titles, actions--everything is fair game. You can use images, text, audio, video and other complex data too, as long as you have a way to reduce it to numbers and names. The mechanics of getting data can be quite complex.