Published July 5, 2025 | Version 1
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Foundations of Data Science From Theory to Practice

Authors/Creators

  • 1. ROR icon Parul University
  • 2. Dr V R Godhania Engineering and Technology College

Contributors

  • 1. ROR icon Parul University

Description

Foundations of Data Science: From Theory to Practice offers a comprehensive introduction to the essential principles, tools, and ethical considerations in data science. Designed for students, faculty, and early-career professionals, the book bridges foundational theory with hands-on practice across six well-structured chapters. It begins with the basics of data science and progresses through data collection, preprocessing, exploratory data analysis (EDA), and core machine learning concepts. Later chapters explore real-world applications in diverse fields such as healthcare, finance, and public policy, before concluding with a critical examination of ethics, privacy, and fairness in data-driven systems. Emphasizing clarity and engagement, the book uses flowcharts, charts, and case-based visuals to simplify complex ideas and reinforce learning. With its interdisciplinary focus and practical approach, this book prepares readers to not only understand data science concepts but also apply them responsibly in real-world scenarios.

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References

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  • 17. Kartha, R. S., Agal, S., Odedra, N. D., Nanda, C. S. K., Rao, V. S., Kuthe, A. M., & Taloba, A. I. (2024). NLP-Based Automatic Summarization using Bidirectional Encoder Representations from Transformers-Long Short Term Memory Hybrid Model: Enhancing Text Compression. International Journal of Advanced Computer Science and Applications, 15(5). https://doi.org/10.14569/IJACSA.2024.01505124
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  • 21. Mr. Om Prakash Singh, Dr. L. Sridhara Rao, Dr. Sanjay Agal, & Dr. Haewon Byeon. (2023). THE ART OF INTELLIGENT MACHINES UNLEASHING THE POWER OF MACHINE LEARNING. In THE ART OF INTELLIGENT MACHINES UNLEASHING THE POWER OF MACHINE LEARNING (p. 214). Xoffencer International Book Publication House. https://doi.org/10.5281/zenodo.8271928
  • 22. Dr. Ihtiram Raza Khan, Dr. Mukta Sandhu, Dr. Sanjay Agal, & Dr. Hemant N Patel. (2023). PRINCIPLES AND PRACTICES OF NETWORK SECURITY. In PRINCIPLES AND PRACTICES OF NETWORK SECURITY (p. 239). Xoffencer International Book Publication House. https://doi.org/10.5281/zenodo.7936756
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  • 24. Agal, S., & Seal, A. (2025). Secure scalable and intelligent ICT systems using AI Cloud and block chain technologies. Journal of Emerging Technologies and Innovative Research, 12(5). https://doi.org/10.56975/jetir.v12i5.561234
  • 25. M, S. Sundari., Agal, S., Raju, A. M., & Patil, A. (2025). Cross-lingual summarization for overseas applications using multilingual pre-trained models and knowledge distillation. 2025 3rd International Conference on Smart Systems for Applications in Electrical Sciences (ICSSES), 1–6. https://doi.org/10.1109/icsses64899.2025.11009852
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  • 28. Sanjay Agal, Nikunj Bhavsar, Krishna Raulji, & Kishori Shekokar. (2025b). Multidisciplinary AI and Data Science Applications in Fintech: A case study from Parul University. International Journal of Latest Technology in Engineering Management & Applied Science, 14(5), 649–661. https://doi.org/10.51583/ijltemas.2025.140500068