Introduction to Data Systems: Building from Python

This textbook provides a comprehensive introduction to data systems, covering data acquisition from various sources and formats, Python programming, and data models. It is accessible to students early in their educational career and equips them with understanding and skills that can be applied in computer science, data science, and information technology programs.

Format: Paperback / softback
Length: 828 pages
Publication date: 05 December 2021
Publisher: Springer Nature Switzerland AG

This comprehensive textbook provides an extensive introduction to data systems, encompassing a wide range of forms and sources of data. It offers a progressive presentation that begins with the acquisition of data from local files and progresses to data obtained from relational databases, REST APIs, and web scraping. The book teaches various data forms and formats, ranging from tidy data to relationally defined sets of tables to hierarchical structures like XML and JSON, using data models to convey the structure, operations, and constraints of each data form.

The book assumes a foundation in Python programming, which can be acquired through introductory computer science classes or short courses. This makes the material accessible to students early in their educational career, equipping them with understanding and skills that can be applied in computer science, data science/data analytics, information technology programs, internships, and research experiences.

One of the key strengths of this textbook is its accessibility to a wide variety of students. By drawing together content normally spread across upper-level computer science courses, it offers a single source that provides the essentials for data science practitioners. The book covers a wide range of topics, including data structures, algorithms, databases, machine learning, and big data, making it suitable for both undergraduate and graduate students.

In today's data-centric world, where data plays a crucial role in decision-making and innovation, students from all domains will benefit from the "data-aptitude" built by the material in this book. The textbook equips students with the skills and knowledge necessary to analyze, manipulate, and interpret data, enabling them to make informed decisions and contribute to the development of data-driven solutions.

Overall, this textbook is an invaluable resource for anyone interested in data systems, providing a comprehensive and up-to-date introduction to the field. Its accessible writing style, extensive coverage of topics, and focus on practical applications make it an ideal textbook for students, professionals, and researchers alike.

Weight: 1294g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030543730
Edition number: 1st ed. 2020