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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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Business Analytics
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LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208428661
ISBN 13: 9786208428662
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Business Analytics
Published by
LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208428661
ISBN 13: 9786208428662
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Business Analytics: Business insights using Advanced Excel and Python
Published by
LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208428661
ISBN 13: 9786208428662
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Business Analytics
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Omniscriptum, LAP Lambert Academic Publishing, 2025
ISBN 10: 6208428661
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Taschenbuch. Condition: 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. Seller Inventory # 9786208428662
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Business Analytics | Business insights using Advanced Excel and Python
Published by
LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208428661
ISBN 13: 9786208428662
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Taschenbuch. Condition: 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. Seller Inventory # 133336268
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Business Analytics
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LAP LAMBERT Academic Publishing Apr 2025, 2025
ISBN 10: 6208428661
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Taschenbuch. Condition: 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. Seller Inventory # 9786208428662
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Business Analytics : Business insights using Advanced Excel and Python. DE
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Taschenbuch. Condition: 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. Seller Inventory # 9786208428662
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Business Analytics
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Business Analytics
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ISBN 10: 6208428661
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Business Analytics
Published by
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ISBN 10: 6208428661
ISBN 13: 9786208428662
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