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by Peter Kattan (Author)
Data Science for Beginners with MATLAB is a clear, hands-on introduction to modern data analysis, computational modeling, and data-driven thinking for students, researchers, and professionals new to data science. Designed with a practical learning approach, the book guides readers from foundational MATLAB skills through data representation, transformation, exploratory data analysis, and predictive modeling using real computational workflows rather than abstract theory. Emphasizing clarity, accessibility, and real-world relevance, it avoids unnecessary complexity while building strong analytical foundations that prepare readers for advanced studies in machine learning, artificial intelligence, and data analytics. This book transforms MATLAB into a powerful data science platform, enabling readers to turn raw data into insight, understanding, and intelligent decision-making. The book includes nine chapters and about 150 exercises at the ends of chapters for students to practice.
