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Libro Reimpreso
portada Data Analytics Toolkit. From Excel to Python, R, and Tableau
Formato
Libro Físico
Editorial
Año
2026
Encuadernación
Tapa Blanda
ISBN13
9780135397862

Data Analytics Toolkit. From Excel to Python, R, and Tableau

Eric Gaze;Mckenzie Lamb (Autor) · Addison Wesley · Tapa Blanda

Data Analytics Toolkit. From Excel to Python, R, and Tableau - Eric Gaze;McKenzie Lamb

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Reseña del libro "Data Analytics Toolkit. From Excel to Python, R, and Tableau"

Expand your data analysis toolkit with Python, R, and Tableau Data Analytics Common Core is designed to help professionals transition from spreadsheet-based analysis to more powerful tools like Python, R, and Tableau. With spreadsheets being the foundation of modern data analysis, this book bridges the gap for those without innate programming skills, offering a practical guide to enhancing your data analysis toolkit. Through a series of real-world case studies, the book demonstrates how to create the same graphics using Excel, Tableau, Python, and R. By starting with Excel and gradually moving to more advanced tools, readers will learn the strengths and limitations of each platform. This comparative approach not only teaches how to use these tools but also deepens understanding of core data analysis concepts, making it easier to choose the right tool for each task. Ideal for both beginners and those looking to expand their existing skills, Data Analytics Common Core provides step-by-step instructions, including software installation and file management, to ensure a smooth transition. Whether you're just starting out or looking to enhance your data visualization and analysis capabilities, this book is a valuable resource for mastering Python, R, and Tableau.

Expand your data analysis toolkit with Python, R, and Tableau

Data Analytics Common Core is designed to help professionals transition from spreadsheet-based analysis to more powerful tools like Python, R, and Tableau. With spreadsheets being the foundation of modern data analysis, this book bridges the gap for those without innate programming skills, offering a practical guide to enhancing your data analysis toolkit.

Through a series of real-world case studies, the book demonstrates how to create the same graphics using Excel, Tableau, Python, and R. By starting with Excel and gradually moving to more advanced tools, readers will learn the strengths and limitations of each platform. This comparative approach not only teaches how to use these tools but also deepens understanding of core data analysis concepts, making it easier to choose the right tool for each task.

Ideal for both beginners and those looking to expand their existing skills, Data Analytics Common Core provides step-by-step instructions, including software installation and file management, to ensure a smooth transition. Whether you''re just starting out or looking to enhance your data visualization and analysis capabilities, this book is a valuable resource for mastering Python, R, and Tableau.

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