Data Science is a rapidly evolving field that sits at the intersection of statistics, computer science, and domain expertise, unlocking extraordinary insights from complex and varied data. This book is a collaborative effort by multiple authors who bring together a rich blend of knowledge and experience to provide a comprehensive introduction to the principles, techniques, and applications of data science.
Our collective objective is to guide readers through the entire data science lifecycle — from data collection, cleaning, and exploration, to modeling, interpretation, and communication of results. The book emphasizes both the theoretical foundations and practical skills necessary to address real-world problems using data-driven approaches. It includes case studies, examples with real datasets, and programming exercises designed to build robust analytical thinking and technical competence.
This multi-author volume reflects diverse perspectives from academia and industry, aiming to equip students, educators, and practitioners with a balanced, approachable resource that will serve them in their learning and professional activities. We hope this book inspires further exploration and empowers readers to harness the transformative potential of data science.
Our sincere thanks go to all contributors for their collaboration and dedication in making this book possible, and to the
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OBJECT ORIENTED PROGRAMMING by Dr.J.Hemalatha,Mr.B.Lakshmipathi,Mr.S.Sundar Stalin,Dr.P.Senthil Pandian
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Weight | 0.5 kg |
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Dimensions | 21 × 30 × 5 cm |
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