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Springer Data Analytics: A Theoretical and Practical View

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Description

Expand your understanding of data science with this comprehensive guide from Springer. Building upon the foundation laid in The Data Science Framework, this book offers a deep look into the many aspects of Data Analytics from both theoretical and practical perspectives. It is an essential resource for anyone looking to master representative algorithms and understand their implementation through various software tools. This text is specifically structured for educational settings, serving as an ideal textbook for a Data Analytics Fundamentals course. The content is organized into seven chapters designed to cover a 16-week lesson plan. By combining theoretical foundations with practical exercises, this book helps learners bridge the gap between abstract concepts and real-world application. Whether you are studying the mathematical basis of an algorithm or learning how to use it in a software environment, this book provides the detailed examination needed for academic and professional success in the field of computer science.

Key Features

Comprehensive coverage of Data Analytics that examines both theoretical foundations and practical applications for a complete learning experience.

Detailed explanation of representative algorithms, guiding you from their mathematical origins to actual implementation using software tools.

Structured for academic success with seven chapters designed to correspond to a standard 16-week course curriculum.

Includes both theoretical and practical exercises to help reinforce learning and prepare students for real-world data challenges.

Provides a direct follow-up to The Data Science Framework, offering advanced depth for those building on existing knowledge.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
11 November 2024
Listed Since
12 November 2024

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