Data without analysis is noise; analysis without context is dangerous. This article provides a foundational toolkit for product professionals who need to work with data but are not statisticians. It covers descriptive statistics (mean, median, distribution), basic inferential statistics (significance testing, confidence intervals), common pitfalls (Simpson's paradox, survivorship bias, correlation vs causation), and data visualization principles. The emphasis is on developing statistical intuition rather than mathematical rigor, with real product analytics examples throughout.