A Guide to Data Science and Analytics : Navigating the Data Deluge: Tools, Techniques, and Applications

Juniper Blake

ISBN 13: 9798330207541

Verlag: Juniper Blake, 2024

Beschreibung

nach der Bestellung gedruckt Neuware - Printed after ordering - 'A Guide to Data Science and Analytics: Navigating the Data Deluge: Tools, Techniques, and Applications' is a thorough resource for aspiring and seasoned data scientists, analysts, and business professionals who wish to harness the power of data in their work. This book explores the complex field of data science and provides a straightforward road map for navigating the frequently confusing world of data analytics.The handbook, designed with a wide readership in mind, starts with fundamental ideas to ensure that readers understand data science fundamentals and the significance of data-driven decision-making in contemporary businesses. It covers a broad range of subjects, including advanced methods in data modeling and machine learning, as well as data gathering and cleaning. The book gives readers in-depth explanations of essential tools and technologies, including popular machine learning frameworks, R, Python, and SQL, so that they can apply workable solutions in their projects.The book highlights the significance of comprehending the business context and using analytical insights to solve practical challenges in addition to technical skills. Case studies from various industries show how businesses use data to drive efficiency and creativity, illuminating the practical applications of data science.The guide also examines ethical issues and best practices in data management to guarantee that practitioners use data responsibly and transparently. 'A Guide to Data Science and Analytics' provides readers with a valuable manual for navigating the intricacies of the data flood by balancing theory, real-world examples, and ethical norms. That enables readers to turn data into actionable insights and strategic advantage.

Bestandsnummer des Verkäufers 9798330207541

Bibliografische Details

• Titel: A Guide to Data Science and Analytics : Navigating the Data Deluge: Tools, Techniques, and Applications
• Verlag: Juniper Blake
• Erscheinungsjahr: 2024
• Sprache: Englisch
• ISBN-13: 9798330207541
• Einband: Taschenbuch
• Zustand: Neu
• Abmessungen: 229B x 152 H x 9 T Millimeter Breite: 229 mm, Höhe: 152 mm, Tiefe: 9 mm
• Gewicht: 234 Gramm

Über diesen Titel

Inhaltsangabe

"A Guide to Data Science and Analytics: Navigating the Data Deluge: Tools, Techniques, and Applications" is a thorough resource for aspiring and seasoned data scientists, analysts, and business professionals who wish to harness the power of data in their work. This book explores the complex field of data science and provides a straightforward road map for navigating the frequently confusing world of data analytics.

The handbook, designed with a wide readership in mind, starts with fundamental ideas to ensure that readers understand data science fundamentals and the significance of data-driven decision-making in contemporary businesses. It covers a broad range of subjects, including advanced methods in data modeling and machine learning, as well as data gathering and cleaning. The book gives readers in-depth explanations of essential tools and technologies, including popular machine learning frameworks, R, Python, and SQL, so that they can apply workable solutions in their projects.

The book highlights the significance of comprehending the business context and using analytical insights to solve practical challenges in addition to technical skills. Case studies from various industries show how businesses use data to drive efficiency and creativity, illuminating the practical applications of data science.

The guide also examines ethical issues and best practices in data management to guarantee that practitioners use data responsibly and transparently. "A Guide to Data Science and Analytics" provides readers with a valuable manual for navigating the intricacies of the data flood by balancing theory, real-world examples, and ethical norms. That enables readers to turn data into actionable insights and strategic advantage.