9789819524327 - data science mba: big data, digitalization, and strategy; with applications in r (springer texts in business and economics) de coad, alex (17 resultados)
Idioma: Inglés
Editorial: Springer, 2025
Serie: Springer Texts in Business and Economics, Libro 179 de 190. Libro 179 de 190 - Springer Texts in Business and Economics
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 80,89
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Condición: New.
Idioma: Inglés
Editorial: Springer Verlag, Singapore, Singapore, 2025
Serie: Springer Texts in Business and Economics, Libro 179 de 190. Libro 179 de 190 - Springer Texts in Business and Economics
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 83,29
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Hardcover. Condición: new. Hardcover. This text book focuses on what could be the most important challenge for firms to boost long-term productivity and competitiveness: digital strategy. It seeks to provide readers with a solid knowledge of the most relevant issues and concepts, that will be relevant to MBA students in real-wor…ld settings. The book discusses theoretical concepts relating to digital strategy, while also using hands-on data analysis in R software to illustrate some fundamental features and pitfalls of working with real-world data. The book starts by clarifying the meaning of relevant concepts (digitization vs digitalization; Machine learning, Artificial Intelligence), presents three leading models of digital transformation, and explains how digitalization has far-reaching implications for how organizations need to be structured. Then the book discusses the skills of a data scientist, and how digital transformation leads to new concerns surrounding ethics. Other themes include data quality, data pre-processing, data visualization, as well as the distinction between prediction and causal inference. Many of these themes are illustrated using R examples, that familiarize the reader with data analysis, using these hands-on experiences to uniquely illustrate some important themes surrounding statistical analysis, and to let readers see for themselves how some popular statistical and data science techniques actually work. Many of these themes are illustrated using R examples, that familiarize the reader with data analysis, using these hands-on experiences to uniquely illustrate some important themes surrounding statistical analysis, and to let readers see for themselves how some popular statistical and data science techniques actually work. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Editorial: Springer, 2025
Serie: Springer Texts in Business and Economics, Libro 179 de 190. Libro 179 de 190 - Springer Texts in Business and Economics
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 87,77
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Condición: New.
Idioma: Inglés
Editorial: Springer, 2025
Serie: Springer Texts in Business and Economics, Libro 179 de 190. Libro 179 de 190 - Springer Texts in Business and Economics
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 87,17
Envío por EUR 2,32Se envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: As New. Unread book in perfect condition.
Idioma: Inglés
Editorial: Springer, 2025
Serie: Springer Texts in Business and Economics, Libro 179 de 190. Libro 179 de 190 - Springer Texts in Business and Economics
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 78,48
Envío por EUR 17,59Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New.
Idioma: Inglés
Editorial: Springer, 2025
Serie: Springer Texts in Business and Economics, Libro 179 de 190. Libro 179 de 190 - Springer Texts in Business and Economics
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 87,65
Envío por EUR 17,59Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: As New. Unread book in perfect condition.
Idioma: Inglés
Editorial: Springer, 2025
Serie: Springer Texts in Business and Economics, Libro 179 de 190. Libro 179 de 190 - Springer Texts in Business and Economics
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 111,98
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Condición: New.
Idioma: Inglés
Editorial: Springer-Nature New York Inc, 2025
Serie: Springer Texts in Business and Economics, Libro 179 de 190. Libro 179 de 190 - Springer Texts in Business and Economics
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 114,53
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Hardcover. Condición: Brand New. 299 pages. 9.26x6.11x9.21 inches. In Stock.
Idioma: Inglés
Editorial: Springer Verlag GmbH, 2025
Serie: Springer Texts in Business and Economics, Libro 179 de 190. Libro 179 de 190 - Springer Texts in Business and Economics
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Librería: moluna, Greven, Alemaniamoluna
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EUR 85,93
Envío por EUR 48,99Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New.
Idioma: Inglés
Editorial: Springer, Springer, 2025
Serie: Springer Texts in Business and Economics, Libro 179 de 190. Libro 179 de 190 - Springer Texts in Business and Economics
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 79,75
Envío por EUR 62,32Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This text book focuses on what could be the most important challenge for firms to boost long-term productivity and competitiveness: digital strategy. It seeks to provide readers with a solid knowledge of the most relevant issues and concepts, that will be… relevant to MBA students in real-world settings. The book discusses theoretical concepts relating to digital strategy, while also using hands-on data analysis in R software to illustrate some fundamental features and pitfalls of working with real-world data. The book starts by clarifying the meaning of relevant concepts (digitization vs digitalization; Machine learning, Artificial Intelligence), presents three leading models of digital transformation, and explains how digitalization has far-reaching implications for how organizations need to be structured. Then the book discusses the skills of a data scientist, and how digital transformation leads to new concerns surrounding ethics. Other themes include data quality, data pre-processing, data visualization, as well as the distinction between prediction and causal inference. Many of these themes are illustrated using R examples, that familiarize the reader with data analysis, using these hands-on experiences to uniquely illustrate some important themes surrounding statistical analysis, and to let readers see for themselves how some popular statistical and data science techniques actually work.
Idioma: Inglés
Editorial: Springer Verlag, Singapore, Singapore, 2025
Serie: Springer Texts in Business and Economics, Libro 179 de 190. Libro 179 de 190 - Springer Texts in Business and Economics
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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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EUR 121,27
Envío por EUR 32,50Se envía de Australia a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hardcover. Condición: new. Hardcover. This text book focuses on what could be the most important challenge for firms to boost long-term productivity and competitiveness: digital strategy. It seeks to provide readers with a solid knowledge of the most relevant issues and concepts, that will be relevant to MBA students in real-wor…ld settings. The book discusses theoretical concepts relating to digital strategy, while also using hands-on data analysis in R software to illustrate some fundamental features and pitfalls of working with real-world data. The book starts by clarifying the meaning of relevant concepts (digitization vs digitalization; Machine learning, Artificial Intelligence), presents three leading models of digital transformation, and explains how digitalization has far-reaching implications for how organizations need to be structured. Then the book discusses the skills of a data scientist, and how digital transformation leads to new concerns surrounding ethics. Other themes include data quality, data pre-processing, data visualization, as well as the distinction between prediction and causal inference. Many of these themes are illustrated using R examples, that familiarize the reader with data analysis, using these hands-on experiences to uniquely illustrate some important themes surrounding statistical analysis, and to let readers see for themselves how some popular statistical and data science techniques actually work. Many of these themes are illustrated using R examples, that familiarize the reader with data analysis, using these hands-on experiences to uniquely illustrate some important themes surrounding statistical analysis, and to let readers see for themselves how some popular statistical and data science techniques actually work. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Idioma: Inglés
Editorial: Springer-Nature New York Inc, 2025
Serie: Springer Texts in Business and Economics, Libro 179 de 190. Libro 179 de 190 - Springer Texts in Business and Economics
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- Impresión bajo demanda
Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 72,46
Envío por EUR 11,73Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hardcover. Condición: Brand New. 299 pages. 9.26x6.11x9.21 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Editorial: Springer Nature Singapore Nov 2025, 2025
Serie: Springer Texts in Business and Economics, Libro 179 de 190. Libro 179 de 190 - Springer Texts in Business and Economics
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 74,89
Envío por EUR 23,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This text book focuses on what could be the most important challenge for firms to boost long-term productivity and competitiveness: digital strategy. It seeks to provide readers with a solid knowledge of the most relevant issues and concep…ts, that will be relevant to MBA students in real-world settings. The book discusses theoretical concepts relating to digital strategy, while also using hands-on data analysis in R software to illustrate some fundamental features and pitfalls of working with real-world data. The book starts by clarifying the meaning of relevant concepts (digitization vs digitalization; Machine learning, Artificial Intelligence), presents three leading models of digital transformation, and explains how digitalization has far-reaching implications for how organizations need to be structured. Then the book discusses the skills of a data scientist, and how digital transformation leads to new concerns surrounding ethics. Other themes include data quality, data pre-processing, data visualization, as well as the distinction between prediction and causal inference. Many of these themes are illustrated using R examples, that familiarize the reader with data analysis, using these hands-on experiences to uniquely illustrate some important themes surrounding statistical analysis, and to let readers see for themselves how some popular statistical and data science techniques actually work. 171 pp. Englisch.
Idioma: Inglés
Editorial: Springer, 2025
Serie: Springer Texts in Business and Economics, Libro 179 de 190. Libro 179 de 190 - Springer Texts in Business and Economics
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- Impresión bajo demanda
Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 114,08
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Condición: New. Print on Demand.
Idioma: Inglés
Editorial: Springer, 2025
Serie: Springer Texts in Business and Economics, Libro 179 de 190. Libro 179 de 190 - Springer Texts in Business and Economics
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 112,32
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Condición: New. PRINT ON DEMAND.
Idioma: Inglés
Editorial: Springer Verlag, Singapore, Singapore, 2025
Serie: Springer Texts in Business and Economics, Libro 179 de 190. Libro 179 de 190 - Springer Texts in Business and Economics
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- Impresión bajo demanda
Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 86,96
Envío por EUR 43,39Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hardcover. Condición: new. Hardcover. This text book focuses on what could be the most important challenge for firms to boost long-term productivity and competitiveness: digital strategy. It seeks to provide readers with a solid knowledge of the most relevant issues and concepts, that will be relevant to MBA students in real-wor…ld settings. The book discusses theoretical concepts relating to digital strategy, while also using hands-on data analysis in R software to illustrate some fundamental features and pitfalls of working with real-world data. The book starts by clarifying the meaning of relevant concepts (digitization vs digitalization; Machine learning, Artificial Intelligence), presents three leading models of digital transformation, and explains how digitalization has far-reaching implications for how organizations need to be structured. Then the book discusses the skills of a data scientist, and how digital transformation leads to new concerns surrounding ethics. Other themes include data quality, data pre-processing, data visualization, as well as the distinction between prediction and causal inference. Many of these themes are illustrated using R examples, that familiarize the reader with data analysis, using these hands-on experiences to uniquely illustrate some important themes surrounding statistical analysis, and to let readers see for themselves how some popular statistical and data science techniques actually work. Many of these themes are illustrated using R examples, that familiarize the reader with data analysis, using these hands-on experiences to uniquely illustrate some important themes surrounding statistical analysis, and to let readers see for themselves how some popular statistical and data science techniques actually work. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Idioma: Inglés
Editorial: Springer, Springer Nov 2025, 2025
Serie: Springer Texts in Business and Economics, Libro 179 de 190. Libro 179 de 190 - Springer Texts in Business and Economics
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- Impresión bajo demanda
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 74,89
Envío por EUR 60,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This text book focuses on what could be the most important challenge for firms to boost long-term productivity and competitiveness: digital strategy. It seeks to provide readers with a solid knowledge of the most relevant issues and concepts,…that will be relevant to MBA students in real-world settings. The book discusses theoretical concepts relating to digital strategy, while also using hands-on data analysis in R software to illustrate some fundamental features and pitfalls of working with real-world data. The book starts by clarifying the meaning of relevant concepts (digitization vs digitalization; Machine learning, Artificial Intelligence), presents three leading models of digital transformation, and explains how digitalization has far-reaching implications for how organizations need to be structured. Then the book discusses the skills of a data scientist, and how digital transformation leads to new concerns surrounding ethics. Other themes include data quality, data pre-processing, data visualization, as well as the distinction between prediction and causal inference. Many of these themes are illustrated using R examples, that familiarize the reader with data analysis, using these hands-on experiences to uniquely illustrate some important themes surrounding statistical analysis, and to let readers see for themselves how some popular statistical and data science techniques actually work.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 196 pp. Englisch.
