The Data Science Design Manual (Texts in Computer Science)
The Data Science Design Manual offers a computer science perspective on data science, emphasizing systematic thinking, design, and practical problem solving. Steven S. Skiena provides an educational foundation for readers who want to understand the methods and principles that shape data-driven work.
About This Book
The Data Science Design Manual presents data science through a computer science perspective, with an emphasis on structured thinking and practical problem solving.
Written by Steven S. Skiena, the book serves as a guide to the concepts and methods used to approach data-driven challenges.
Its focus on design makes it relevant to readers seeking a systematic foundation for studying and applying data science.
Published in the Texts in Computer Science series, it offers an educational resource for developing broader technical understanding.
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