The Data Science Loop Explained

Data science is just one simple loop, and I'm about to break it down.

It all starts with describing your data—think mean, median, and mode.

Then you start predicting. You can draw a line through your points with linear regression or build a decision

tree that asks a bunch of questions to classify things. Feeling lost? Unsupervised learning

finds hidden groups for you, no labels needed. Then you get to the cool stuff:

teaching computers to understand text or building recommender systems that know what you'll love

next. It all boils down to this: collect, describe, model,

evaluate, and act responsibly. That's the whole game.