Data is everywhere
Today, everyone has to deal with mounds of data, whether they call themselves “data analyst” or “data scientist” or not.
But people who possess a toolbox of data analysis skills have a massive edge on everyone else, because they understand what to do with all that stuff.
They know how to translate raw numbers into intelligence that drive real-world action.
They know how to break down and structure complex problems and data sets to get right to the heart of problems in their business.
Data analysis is careful thinking about evidence.
All good data analysts, regardless of their skills or goals, go through the same basic process during the course of their work, always using empirical evidence to think carefully about problems.
Define → Disassemble → Evaluate → Decide
Define — Knowing your problem is the very first step.
Disassemble — Data analysis is all about breaking problems and data into smaller pieces.
Evaluate — Here’s the meat of the analysis, where we draw our conclusions about what we’ve learned in the first two steps.
Decide — Finally, we put all back together and make (or recommend) a decision.