This document provides guidance on becoming a data scientist by outlining important skills to learn like statistics, programming, visualization, and big data concepts. It recommends starting with hands-on SQL and statistical learning in R or Python, developing expertise in data visualization, and learning to apply techniques such as regression, classification, and recommendation engines. The document advises demonstrating what you've learned by applying for data scientist positions.