£44.85

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£45 today · all-time low £45 (Jul 2026) · usually the usual

Springer - The Data Science Design Manual Textbook

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Description

The Data Science Design Manual by Springer provides a clear introduction to the interdisciplinary field of data science. This textbook focuses on the fundamental principles required to become a skilled data scientist, teaching the core skills needed to build systems for collecting, analyzing, and interpreting data. Instead of focusing on a specific programming language or software suite, this book provides practical insights into what matters most when analyzing data. It offers an intuitive understanding of core concepts, making it a valuable reference for anyone looking to master the essential skills of the field. This text is designed to help readers understand how to apply these principles to real-world data challenges.

Key Features

This Springer textbook offers an introduction to the interdisciplinary field of data science.

The manual focuses on the fundamental principles and key skills needed to build data collection and analysis systems.

Readers gain an intuitive understanding of core concepts used for interpreting data.

The content provides practical insights into what is most important when performing data analysis.

This book avoids a focus on any specific programming language or software suite to prioritize core concepts.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
29 August 2017
Listed Since
09 February 2017

Barcode

No barcode data available

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