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Business Analytics Python by Olson David (43 results)
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Condition: Acceptable. Readable, but has significant damage / tears. Has a remainder mark. hardcover Used - Acceptable 2024.
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Business Analytics with R and Python (Hardcover)
Language: English
Published by Springer Verlag, Singapore, Singapore, 2024
ISBN 10: 9819747716 ISBN 13: 9789819747719
Hardcover. Condition: new. Hardcover. This book provides an overview of data mining methods in the field of business. Business management faces challenges in serving customers in better ways, in identifying risks, and analyzing the impact of decisions. Of the three types of analytic tools, descriptive analytics focuses on what has happened and predictive analytics extends statistical and/or artificial intelligence to provide forecasting capability. Chapter 1 provides an overview of business management problems. Chapter 2 describes how analytics and knowledge management have been used to better cope with these problems. Chapter 3 describes initial data visualization tools. Chapter 4 describes association rules and software support. Chapter 5 describes cluster analysis with software demonstration. Chapter 6 discusses time series analysis with software demonstration. Chapter 7 describes predictive classification data mining tools. Applications of the context of management are presented in Chapter 8. Chapter 9 covers prescriptive modeling in business and applications of artificial intelligence. Chapter 1 provides an overview of business management problems. Chapter 2 describes how analytics and knowledge management have been used to better cope with these problems. Chapter 5 describes cluster analysis with software demonstration. Chapter 7 describes predictive classification data mining tools. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Business Analytics with R and Python
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Business Analytics with R and Python
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Business Analytics with R and Python
Language: English
Published by Springer Verlag, Singapore, SG, 2024
ISBN 10: 9819747716 ISBN 13: 9789819747719
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Hardback. Condition: New. 2024 ed.
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Business Analytics With R and Python
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Business Analytics With R and Python
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Business Analytics With R and Python
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Business Analytics with R and Python (AI for Risks)
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Business Analytics With R and Python
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Add to basketHardcover. Condition: Brand New. 206 pages. 9.25x6.10x9.21 inches. In Stock.
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Condition: New. 2024th edition NO-PA16APR2015-KAP.
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Business Analytics with R and Python
Language: English
Published by Springer, Springer Aug 2025, 2025
ISBN 10: 9819747740 ISBN 13: 9789819747740
Seller: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -This book provides an overview of data mining methods in the field of business. Business management faces challenges in serving customers in better ways, in identifying risks, and analyzing the impact of decisions. Of the three types of analytic tools, descriptive analytics focuses on what has happened and predictive analytics extends statistical and/or artificial intelligence to provide forecasting capability. Chapter 1 provides an overview of business management problems. Chapter 2 describes how analytics and knowledge management have been used to better cope with these problems. Chapter 3 describes initial data visualization tools. Chapter 4 describes association rules and software support. Chapter 5 describes cluster analysis with software demonstration. Chapter 6 discusses time series analysis with software demonstration. Chapter 7 describes predictive classification data mining tools. Applications of the context of management are presented in Chapter 8. Chapter 9 covers prescriptive modeling in business and applications of artificial intelligence. 208 pp. Englisch.
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Business Analytics with R and Python
Language: English
Published by Springer, Springer Aug 2025, 2025
ISBN 10: 9819747740 ISBN 13: 9789819747740
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -This book provides an overview of data mining methods in the field of business. Business management faces challenges in serving customers in better ways, in identifying risks, and analyzing the impact of decisions. Of the three types of analytic tools, descriptive analytics focuses on what has happened and predictive analytics extends statistical and/or artificial intelligence to provide forecasting capability. Chapter 1 provides an overview of business management problems. Chapter 2 describes how analytics and knowledge management have been used to better cope with these problems. Chapter 3 describes initial data visualization tools. Chapter 4 describes association rules and software support. Chapter 5 describes cluster analysis with software demonstration. Chapter 6 discusses time series analysis with software demonstration. Chapter 7 describes predictive classification data mining tools. Applications of the context of management are presented in Chapter 8. Chapter 9 covers prescriptive modeling in business and applications of artificial intelligence. 208 pp. Englisch.
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Business Analytics with R and Python
Language: English
Published by Springer, Springer Aug 2025, 2025
ISBN 10: 9819747740 ISBN 13: 9789819747740
Taschenbuch. Condition: Neu. Neuware -This book provides an overview of data mining methods in the field of business. Business management faces challenges in serving customers in better ways, in identifying risks, and analyzing the impact of decisions. Of the three types of analytic tools, descriptive analytics focuses on what has happened and predictive analytics extends statistical and/or artificial intelligence to provide forecasting capability. Chapter 1 provides an overview of business management problems. Chapter 2 describes how analytics and knowledge management have been used to better cope with these problems. Chapter 3 describes initial data visualization tools. Chapter 4 describes association rules and software support. Chapter 5 describes cluster analysis with software demonstration. Chapter 6 discusses time series analysis with software demonstration. Chapter 7 describes predictive classification data mining tools. Applications of the context of management are presented in Chapter 8. Chapter 9 covers prescriptive modeling in business and applications of artificial intelligence.
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Add to basketPaperback. Condition: Brand New. 206 pages. 9.25x6.10x9.25 inches. In Stock.
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Add to basketHardcover. Condition: Brand New. 206 pages. 9.25x6.10x9.21 inches. In Stock.
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Business Analytics with R and Python
Language: English
Published by Springer, Berlin|Springer Nature Singapore|Springer, 2024
ISBN 10: 9819747716 ISBN 13: 9789819747719
Condition: New. This book provides an overview of data mining methods in the field of business. Business management faces challenges in serving customers in better ways, in identifying risks, and analyzing the impact of decisions. Of the three types of analytic tools, d.
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an overview of data mining methods in the field of business. Business management faces challenges in serving customers in better ways, in identifying risks, and analyzing the impact of decisions. Of the three types of analytic tools, descriptive analytics focuses on what has happened and predictive analytics extends statistical and/or artificial intelligence to provide forecasting capability. Chapter 1 provides an overview of business management problems. Chapter 2 describes how analytics and knowledge management have been used to better cope with these problems. Chapter 3 describes initial data visualization tools. Chapter 4 describes association rules and software support. Chapter 5 describes cluster analysis with software demonstration. Chapter 6 discusses time series analysis with software demonstration. Chapter 7 describes predictive classification data mining tools. Applications of the context of management are presented in Chapter 8. Chapter 9 covers prescriptive modeling in business and applications of artificial intelligence.
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Business Analytics with R and Python (Hardcover)
Language: English
Published by Springer Verlag, Singapore, Singapore, 2024
ISBN 10: 9819747716 ISBN 13: 9789819747719
Hardcover. Condition: new. Hardcover. This book provides an overview of data mining methods in the field of business. Business management faces challenges in serving customers in better ways, in identifying risks, and analyzing the impact of decisions. Of the three types of analytic tools, descriptive analytics focuses on what has happened and predictive analytics extends statistical and/or artificial intelligence to provide forecasting capability. Chapter 1 provides an overview of business management problems. Chapter 2 describes how analytics and knowledge management have been used to better cope with these problems. Chapter 3 describes initial data visualization tools. Chapter 4 describes association rules and software support. Chapter 5 describes cluster analysis with software demonstration. Chapter 6 discusses time series analysis with software demonstration. Chapter 7 describes predictive classification data mining tools. Applications of the context of management are presented in Chapter 8. Chapter 9 covers prescriptive modeling in business and applications of artificial intelligence. Chapter 1 provides an overview of business management problems. Chapter 2 describes how analytics and knowledge management have been used to better cope with these problems. Chapter 5 describes cluster analysis with software demonstration. Chapter 7 describes predictive classification data mining tools. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Taschenbuch. Condition: Neu. Business Analytics with R and Python | David L. Olson (u. a.) | Taschenbuch | AI for Risks | x | Englisch | 2025 | Springer | EAN 9789819747740 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
