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Sinopsis
Data is transforming every industry—and the ability to analyse and interpret it has become an essential skill for students, professionals, and decision-makers.
Introduction to Data Analytics: Concepts, Tools, and Applications provides a practical, step-by-step guide to understanding how data can be transformed into meaningful insights and informed decisions. Written in clear, accessible language, the book takes readers from foundational concepts to real-world applications without assuming prior knowledge of programming or advanced mathematics.
Covering key topics such as data collection, statistical analysis, visualisation, Excel, SQL, Python, machine learning, artificial intelligence, and big data, this textbook combines theory with hands-on practice through worked examples, case studies, exercises, laboratory activities, and mini projects.
Whether you are a student preparing for a career in business, management, technology, or analytics—or an educator seeking a structured and application-oriented resource—this book offers the knowledge and practical skills needed to build confidence in data-driven decision-making.
Learn to ask better questions, analyse information effectively, and turn data into actionable insights.
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Introduction to Data Analytics: Concepts, Tools, and Applications
Librería: California Books, Miami, FL, Estados Unidos de America
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Introduction to Data Analytics
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: L2-9789359370019
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Introduction to Data Analytics
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Introduction to Data Analytics (Paperback)
Impresión bajo demandaLibrería: CitiRetail, Stevenage, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: new. Paperback. Data is transforming every industry-and the ability to analyse and interpret it has become an essential skill for students, professionals, and decision-makers.Introduction to Data Analytics: Concepts, Tools, and Applications provides a practical, step-by-step guide to understanding how data can be transformed into meaningful insights and informed decisions. Written in clear, accessible language, the book takes readers from foundational concepts to real-world applications without assuming prior knowledge of programming or advanced mathematics.Covering key topics such as data collection, statistical analysis, visualisation, Excel, SQL, Python, machine learning, artificial intelligence, and big data, this textbook combines theory with hands-on practice through worked examples, case studies, exercises, laboratory activities, and mini projects.Whether you are a student preparing for a career in business, management, technology, or analytics-or an educator seeking a structured and application-oriented resource-this book offers the knowledge and practical skills needed to build confidence in data-driven decision-making.Learn to ask better questions, analyse information effectively, and turn data into actionable insights. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9789359370019
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Introduction to Data Analytics : Concepts, Tools, and Applications
Publicado por
Independently Published Jun 2026, 2026
ISBN 10: 9359370010
ISBN 13: 9789359370019
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware - Data is transforming every industry-and the ability to analyse and interpret it has become an essential skill for students, professionals, and decision-makers.Introduction to Data Analytics: Concepts, Tools, and Applications provides a practical, step-by-step guide to understanding how data can be transformed into meaningful insights and informed decisions. Written in clear, accessible language, the book takes readers from foundational concepts to real-world applications without assuming prior knowledge of programming or advanced mathematics.Covering key topics such as data collection, statistical analysis, visualisation, Excel, SQL, Python, machine learning, artificial intelligence, and big data, this textbook combines theory with hands-on practice through worked examples, case studies, exercises, laboratory activities, and mini projects.Whether you are a student preparing for a career in business, management, technology, or analytics-or an educator seeking a structured and application-oriented resource-this book offers the knowledge and practical skills needed to build confidence in data-driven decision-making.Learn to ask better questions, analyse information effectively, and turn data into actionable insights. Nº de ref. del artículo: 9789359370019
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