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portada Applied Linear Regression for Business Analytics with R: A Practical Guide to Data Science with Case Studies
Type
Physical Book
Author
Publisher
Language
English
Pages
276
Format
Hardcover
Dimensions
23.4x15.6x1.8 cm
Weight
0.59 kg.
ISBN13
9783031214790
Categories

Applied Linear Regression for Business Analytics with R: A Practical Guide to Data Science with Case Studies

Daniel P. McGibney (Author) · Springer · Hardcover

Applied Linear Regression for Business Analytics with R: A Practical Guide to Data Science with Case Studies - McGibney, Daniel P.

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Synopsis "Applied Linear Regression for Business Analytics with R: A Practical Guide to Data Science with Case Studies"

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.

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