This book covers key topics related to business analytics like descriptive, predictive, and prescriptive analytics, data exploration, visualization, and preparation. There is emphasis on practical application, including advanced Excel features like pivot tables and lookup functions, alongside Python’s capabilities for data preparation, regression analysis, and predictive modeling. Each chapter integrates examples, coding exercises, and step-by-step instructions. The primary purpose of this book is to equip readers with the knowledge and skills required to decode data using Advanced Excel and Python. It will not only simplify their business decision-making process but also enable them to predict future trends. It serves as a practical guide for students, educators, and professionals. Readers will learn about the three pillars of analytics: descriptive, predictive, and prescriptive, and understand why they’re indispensable in organisational growth trajectories.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book covers key topics related to business analytics like descriptive, predictive, and prescriptive analytics, data exploration, visualization, and preparation. There is emphasis on practical application, including advanced Excel features like pivot tables and lookup functions, alongside Python's capabilities for data preparation, regression analysis, and predictive modeling. Each chapter integrates examples, coding exercises, and step-by-step instructions. The primary purpose of this book is to equip readers with the knowledge and skills required to decode data using Advanced Excel and Python. It will not only simplify their business decision-making process but also enable them to predict future trends. It serves as a practical guide for students, educators, and professionals. Readers will learn about the three pillars of analytics: descriptive, predictive, and prescriptive, and understand why they're indispensable in organisational growth trajectories. 264 pp. Englisch. N° de réf. du vendeur 9786208428662
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Paperback. Etat : new. Paperback. This book covers key topics related to business analytics like descriptive, predictive, and prescriptive analytics, data exploration, visualization, and preparation. There is emphasis on practical application, including advanced Excel features like pivot tables and lookup functions, alongside Python's capabilities for data preparation, regression analysis, and predictive modeling. Each chapter integrates examples, coding exercises, and step-by-step instructions. The primary purpose of this book is to equip readers with the knowledge and skills required to decode data using Advanced Excel and Python. It will not only simplify their business decision-making process but also enable them to predict future trends. It serves as a practical guide for students, educators, and professionals. Readers will learn about the three pillars of analytics: descriptive, predictive, and prescriptive, and understand why they're indispensable in organisational growth trajectories. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9786208428662
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Taschenbuch. Etat : Neu. Business Analytics | Business insights using Advanced Excel and Python | Mamta Gupta (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208428662 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. N° de réf. du vendeur 133336268
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book covers key topics related to business analytics like descriptive, predictive, and prescriptive analytics, data exploration, visualization, and preparation. There is emphasis on practical application, including advanced Excel features like pivot tables and lookup functions, alongside Python's capabilities for data preparation, regression analysis, and predictive modeling. Each chapter integrates examples, coding exercises, and step-by-step instructions. The primary purpose of this book is to equip readers with the knowledge and skills required to decode data using Advanced Excel and Python. It will not only simplify their business decision-making process but also enable them to predict future trends. It serves as a practical guide for students, educators, and professionals. Readers will learn about the three pillars of analytics: descriptive, predictive, and prescriptive, and understand why they're indispensable in organisational growth trajectories.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 264 pp. Englisch. N° de réf. du vendeur 9786208428662
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book covers key topics related to business analytics like descriptive, predictive, and prescriptive analytics, data exploration, visualization, and preparation. There is emphasis on practical application, including advanced Excel features like pivot tables and lookup functions, alongside Python's capabilities for data preparation, regression analysis, and predictive modeling. Each chapter integrates examples, coding exercises, and step-by-step instructions. The primary purpose of this book is to equip readers with the knowledge and skills required to decode data using Advanced Excel and Python. It will not only simplify their business decision-making process but also enable them to predict future trends. It serves as a practical guide for students, educators, and professionals. Readers will learn about the three pillars of analytics: descriptive, predictive, and prescriptive, and understand why they're indispensable in organisational growth trajectories. N° de réf. du vendeur 9786208428662
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