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Mastering Data Science

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Hardback
518 Pages
10 August 2026
RRP: $378.00
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In an era defined by explosive data growth, understanding data science is more essential than ever. This book offers a clear and practical introduction to the field, equipping readers with the tools to collect, clean, analyze, and interpret data for informed decision-making.

Covering core concepts and modern techniques, the book guides readers through data analysis, statistics, machine learning, and big data technologies, supported by real-world examples, case studies, and hands-on exercises. Complex topics are presented in an accessible way, enabling a strong grasp of data patterns, algorithms, and analytical thinking.

The volume also addresses emerging trends and ethical considerations, including data privacy and responsible AI use. Designed for students, early learners, and professionals across disciplines such as business, healthcare, finance, and marketing, this book serves as both a foundational guide and a practical resource for applying data science in real-world contexts.

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    Product Details
    ISBN-13
    9781779640505
    Author
    Aashi Singh Bhadouria
    Publisher
    Apple Academic Press
    Published
    10 August 2026
    Format
    Hardback
    Pages
    518

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    RRP: $378.00
    $373.00
    Ships in 2-5 business days

    Delivery estimate

    Hurry up! Current stock:

    Mastering Data Science

    RRP: $378.00
    $373.00

    Description

    In an era defined by explosive data growth, understanding data science is more essential than ever. This book offers a clear and practical introduction to the field, equipping readers with the tools to collect, clean, analyze, and interpret data for informed decision-making.

    Covering core concepts and modern techniques, the book guides readers through data analysis, statistics, machine learning, and big data technologies, supported by real-world examples, case studies, and hands-on exercises. Complex topics are presented in an accessible way, enabling a strong grasp of data patterns, algorithms, and analytical thinking.

    The volume also addresses emerging trends and ethical considerations, including data privacy and responsible AI use. Designed for students, early learners, and professionals across disciplines such as business, healthcare, finance, and marketing, this book serves as both a foundational guide and a practical resource for applying data science in real-world contexts.

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