Data Science Foundations & Core Analytics: A Comprehensive MCQ Question Bank

Data Science Foundations & Core Analytics: A Comprehensive MCQ Question Bank is a structured and practice-oriented resource designed to strengthen conceptual understanding and examination readiness across the major areas of data science. Featuring 526 carefully prepared multiple-choice questions with answers and detailed explanations, the book progresses from fundamental concepts and terminology to advanced analytical and computational techniques. Each question is designed not merely to test memory, but to reinforce understanding, clarify concepts, and develop analytical thinking. The book covers data science fundamentals, statistics and probability, data types and structures, Python for data science, NumPy and Pandas, data cleaning and preprocessing, exploratory data analysis, visualization, machine learning, regression, classification, clustering, dimensionality reduction, model evaluation, deep learning, neural networks, natural language processing, computer vision, big data technologies, and business analytics including A/B testing. With its broad subject coverage and explanation-based approach, the book is suitable for undergraduate and postgraduate students, educators, researchers, competitive-examination aspirants, interview candidates, and aspiring data professionals. It can be effectively used for classroom practice, self-study, revision, assessment preparation, and technical interview preparation.