Data Science: Theory, Analysis and Applications is a comprehensive resource edited by Qurban A Memon that delves into the core concepts, methodologies, and practical applications of data science. This book aims to serve as an authoritative guide for researchers, professors, students, and practitioners interested in exploring the latest advancements in this field. Divided into three distinct parts, it covers fundamental theories and algorithms, advanced data design and analysis techniques, and innovative application areas and emerging trends.
Part I: Data Science: Theory, Concepts, and Algorithms
- Data Science Fundamentals
- Key Concepts in Data Analysis
- Techniques for Effective Machine Learning
- Algorithms in the Age of Big Data
- Theoretical Frameworks Supporting Data Science
Part II: Data Design and Analysis
- Designing Optimal Data Structures
- Statistical Methods for Data Interpretation
- Data Visualization Techniques and Infographics
- Advanced Analytics for Complex Datasets
- Evaluation Metrics for Data Science Projects
Part III: Applications and New Trends in Data Science
- Real-World Applications of Data Science
- Innovative Trends in Data Science Research
- Data Science in Healthcare and Biotechnology
- Environmental Monitoring Using Data Science
- Future Directions for Data Science Development
The book, published by CRC Press on September 26, 2019, with ISBN-13: 978-0429554353, offers a blend of theoretical insights and practical examples, making it an essential reference for anyone seeking to deepen their understanding of data science.