Introduction to Data Systems (Hardcover)
Language: English
Published by Springer Nature Switzerland AG, Cham, 2020
- Hardcover
- New
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
AbeBooks seller since October 12, 2005
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Add to basketItem description from seller
Hardcover. Encompassing a broad range of forms and sources of data, this textbook introduces data systems through a progressive presentation. Introduction to Data Systems covers data acquisition starting with local files, then progresses to data acquired from relational databases, from REST APIs and through web scraping. It teaches data forms/formats from tidy data to relationally defined sets of tables to hierarchical structure like XML and JSON using data models to convey the structure, operations, and constraints of each data form.The starting point of the book is a foundation in Python programming found in introductory computer science classes or short courses on the language, and so does not require prerequisites of data structures, algorithms, or other courses. This makes the material accessible to students early in their educational career and equips them with understanding and skills that can be applied in computer science, data science/data analytics, and information technology programs as well as for internships and research experiences. This book is accessible to a wide variety of students. By drawing together content normally spread across upper level computer science courses, it offers a single source providing the essentials for data science practitioners. In our increasingly data-centric world, students from all domains will benefit from the data-aptitude built by the material in this book. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…
Seller Inventory # 9783030543709
- Title
- Introduction to Data Systems (Hardcover)
- Author
- Thomas Bressoud
- Publisher
- Springer Nature Switzerland AG, Cham
- Publication year
- 2020
- Condition
- new
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3030543706
- ISBN 13
- 9783030543709
Encompassing a broad range of forms and sources of data, this textbook introduces data systems through a progressive presentation. Introduction to Data Systems covers data acquisition starting with local files, then progresses to data acquired from relational databases, from REST APIs and through web scraping. It teaches data forms/formats from tidy data to relationally defined sets of tables to hierarchical structure like XML and JSON using data models to convey the structure, operations, and constraints of each data form.
The starting point of the book is a foundation in Python programming found in introductory computer science classes or short courses on the language, and so does not require prerequisites of data structures, algorithms, or other courses. This makes the material accessible to students early in their educational career and equips them with understanding and skills that can be applied in computer science, data science/data analytics, and information technology programs as well as for internships and research experiences. This book is accessible to a wide variety of students. By drawing together content normally spread across upper level computer science courses, it offers a single source providing the essentials for data science practitioners. In our increasingly data-centric world, students from all domains will benefit from the “data-aptitude” built by the material in this book.
"Synopsis" may belong to another edition of this title.
About the Author
David White is Associate Professor in computer science, data analytics, and mathematics at Denison University. After his undergraduate degree at Bowdoin College, David carried out applied data analysiswork for the Department of Defense. He went on to earn his MS in computer science, and PhD in mathematics from Wesleyan University in 2014. His research has resulted in over fifteen publications in mathematics, applied statistics, computer science, economics, and data science. In addition to publications on data science pedagogy, and a chapter for the book Data Science for Mathematicians, he has applied data science techniques to carry out research related to the opioid epidemic, gun violence, and biomedical treatments.
"About the title" may belong to another edition of this title.
Grand Eagle Retail
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AbeBooks seller since October 12, 2005
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