Data Science and Big Data: Foundations, Tools, and Techniques

Download or read book Data Science and Big Data: Foundations, Tools, and Techniques written by and published by Addition Publishing House. This book was released on 2024-12-02 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: The world is increasingly driven by data, and as businesses and individuals generate more information than ever before, the demand for professionals skilled in data science and big data technologies continues to rise. Introduction to Data Science and Big Data aims to provide readers with a comprehensive understanding of these cutting-edge fields and the tools needed to navigate and make sense of vast amounts of data. This book covers the foundational concepts of data science and big data, including data collection, cleaning, and analysis. It dives into key data science methodologies, such as machine learning, statistical analysis, and predictive modeling. The book also explores big data technologies like Hadoop, Spark, and cloud computing, emphasizing how they can handle and process large datasets efficiently. Designed for students, professionals, and enthusiasts, this book presents complex topics in a clear and approachable manner. Each chapter is equipped with practical examples and real-world case studies to illustrate how data science and big data techniques are applied in various industries. By the end of this book, readers will have a solid understanding of how to leverage data for decision-making and problem-solving. As we stand on the precipice of a data-driven world, understanding how to manipulate and derive insights from vast amounts of data is no longer optional. With this book, readers will gain the skills necessary to thrive in the fast-evolving field of data science and big data, equipping them for success in the 21st century.