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Applied Linear Regression for Business Analytics with R: A Practical Guide to Data Science with Case Studies - Couverture souple
Synopsis
Applied Linear Regression for Business Analytics with R introduces regression analysis to business students using the R programming language with a focus on illustrating and solving real-time, topical problems. Specifically, this book presents modern and relevant case studies from the business world, along with clear and concise explanations of the theory, intuition, hands-on examples, and the coding required to employ regression modeling. Each chapter includes the mathematical formulation and details of regression analysis and provides in-depth practical analysis using the R programming language.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Dr. Daniel McGibney is an Assistant Professor of Professional Practice at the University of Miami Herbert Business School, USA. He currently teaches analytics to both graduate and undergraduate students. Over the years, he has taught many analytics and data science classes, ranging from Basic Statistics to Big Data Analytics and Deep Learning. He has taught Applied Linear Regression Analysis to students pursuing their MSBA, MBA, MST, and MAcc. He also actively oversees and mentors graduate capstone projects in Analytics for MSBA students, collaborating with Deloitte, Visa, Carnival, Citi, Experian, and many other companies. Dr. McGibney formerly served as the program director for the Herbert Business School's MSBA degree program. He advised students, oversaw admissions, expanded industry partnerships, and advanced the program curriculum during his tenure as program director.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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APPLIED LINEAR REGRESSION FOR BUSINESS A
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Applied Linear Regression for Business Analytics with R
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Applied Linear Regression for Business Analytics with R
Edité par
Springer International Publishing AG, 2024
ISBN 10 : 303121482X
ISBN 13 : 9783031214820
Neuf
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Applied Linear Regression for Business Analytics with R: A Practical Guide to Data Science with Case Studies (International Series in Operations Research & Management Science)
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Etat : New. Applied Linear Regression for Business Analytics with R introduces regression analysis to business students using the R programming language with a focus on illustrating and solving real-time, topical problems. Specifically, this book presents modern and. N° de réf. du vendeur 1402956113
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Applied Linear Regression for Business Analytics With R : A Practical Guide to Data Science With Case Studies
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Applied Linear Regression for Business Analytics with R: A Practical Guide to Data Science with Case Studies (International Series in Operations Research & Management Science, 337)
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Applied Linear Regression for Business Analytics With R : A Practical Guide to Data Science With Case Studies
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Springer, 2024
ISBN 10 : 303121482X
ISBN 13 : 9783031214820
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Applied Linear Regression for Business Analytics With R : A Practical Guide to Data Science With Case Studies
Edité par
Springer, 2024
ISBN 10 : 303121482X
ISBN 13 : 9783031214820
Ancien ou d'occasion
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Etat : good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers. N° de réf. du vendeur 46852127-5
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