Скачать или смотреть EDA [Exploratory Data Analysis]

Most data projects fail for one reason: you're building models on data you haven't actually looked at. It’s like trying to navigate a road trip without a map—you might move fast, but you’re driving straight off a cliff.

This specific discipline—Exploratory Data Analysis (EDA)—is the primary filter that separates amateur analysts from Senior Data Scientists at Google, Amazon, and Meta. The top engineers at these companies don't just "run code"; they act as detectives, validating their assumptions and cleaning their data streams before a single prediction model is built. If you want to move from junior to senior, you need to master the art of finding the signal in the noise.

In this video, we break down a real-world business case: a used car platform bleeding money on dead-end leads. We aren't just making charts; we are solving a resource allocation crisis. By analyzing raw data on vehicle age, mileage, and ownership history, we uncover hidden patterns that predict exactly which cars will sell and which are trash—directly transforming operational waste into revenue.