Foundations of Data Science Handbook simplifies complex concepts into easy-to-understand explanations, practical examples, and crisp revision notes. Whether you are preparing for university exams, vivas, or strengthening your fundamentals, this book serves as a reliable academic companion.

This handbook covers essential topics, including basics of Data Science, data collection methods, data cleaning and preprocessing, exploratory data analysis (EDA), data visualization using Matplotlib, basic statistics, and an introduction to machine learning concepts.

Perfect for BCA, MCA, B.Tech, M.Tech, and Data Science students, this book focuses on conceptual clarity, structured learning, and quick revision — without unnecessary technical overload.

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