codient

Data science methods are behind Amazon's $67 billion in annual recommendation revenue — and they're skills you can actually start learning this week. Most people hear "data science" and picture PhD-level math and years of training. The reality is messier, more interesting, and a lot more accessible than that. In 2019, a mid-size e-commerce company in Chicago noticed their sales were flat even though they were running more promotions. A junior data analyst spent two weekends applying basic clustering — grouping customers by purchase behavior instead of demographics. What she found: they had three completely different customer types getting identical emails. After splitting the campaigns, revenue from email jumped 31%. The method she used wasn't exotic. It's taught in any intro data science course. That's the thing about data science methods. They're not magic. They're frameworks — repeatable ways of asking questions about data and getting answer...