Data Science: An Honest, Hands-On Introduction is a practical beginner-friendly guide designed for anyone who wants to understand what data science actually involves before committing to a career in the field.

Published by RenewCareer, the eBook takes readers from their first data-science question to building a complete portfolio project, while introducing the real-world tools, techniques, workflows, and decisions used by data professionals.

Rather than focusing only on algorithms and complex mathematics, the book teaches readers how to frame useful questions, understand data, clean and analyze datasets, work with Python and SQL, explore machine learning and AI, communicate findings, and approach data responsibly.

The book begins with a shared foundation covering the complete data-science lifecycle and then allows readers to choose one of three specialization paths:

Data Analyst, Data Scientist, or Machine Learning Engineer.

With practical examples, exercises, code snippets, case studies, decision points, common pitfalls, and portfolio-focused projects, the guide helps readers understand not only how data science works, but how data professionals think.

No paid cloud tools, credit card, private dataset, or prior professional experience is required to follow the book.