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Business analytics: the science of data - driven decision making

By: Kumar, Dinesh U.
Material type: materialTypeLabelBookPublisher: New Delhi Wiley 2017Description: xxi, 714 p.ISBN: 9788126568772.Subject(s): Management - statistical methods | Decision making - statistical methods | Data Mining | Business intelligenceDDC classification: 658.4013 Summary: The book has 17 chapters and addresses all components of analytics such as descriptive, predictive and prescriptive analytics. The first few chapters are dedicated to foundations of business analytics. Introduction to business analytics and its components such as descriptive, predictive and prescriptive analytics along with several applications are discussed in Chapter 1. In Chapters 2 to 8, we discuss basic statistical concepts such as descriptive statistics, concept of random variables, discrete and continuous random variables, confidence interval, hypothesis testing, analysis of variance and correlation. Chapters 9 to 13 are dedicated to predictive analytics techniques such as multiple linear regression, logistic regression, decision tree learning and forecasting techniques. Clustering is discussed in Chapter 14. Chapter 15 is dedicated to prescriptive analytics in which concepts such as linear programming, integer programming, and goal programming are discussed. Stochastic models and Six Sigma are discussed in Chapters 16 and 17, respectively. https://www.wileyindia.com/business-analytics-the-science-of-data-driven-decision-making.html
List(s) this item appears in: IT and Decision Science | Data Science
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Item type Current location Item location Collection Call number Copy number Status Notes Date due Barcode
Books Vikram Sarabhai Library
Slot 2045 (2 Floor, East Wing) Non-fiction 658.4013 K8B8 (Browse shelf) 1 Available 195306
Electronic Resources Vikram Sarabhai Library
Electronic Resources
658.4013 K8B8 (Browse shelf) 2 Available Available in Kindle EBR002 ER000695

The book has 17 chapters and addresses all components of analytics such as descriptive, predictive and prescriptive analytics. The first few chapters are dedicated to foundations of business analytics. Introduction to business analytics and its components such as descriptive, predictive and prescriptive analytics along with several applications are discussed in Chapter 1. In Chapters 2 to 8, we discuss basic statistical concepts such as descriptive statistics, concept of random variables, discrete and continuous random variables, confidence interval, hypothesis testing, analysis of variance and correlation. Chapters 9 to 13 are dedicated to predictive analytics techniques such as multiple linear regression, logistic regression, decision tree learning and forecasting techniques. Clustering is discussed in Chapter 14. Chapter 15 is dedicated to prescriptive analytics in which concepts such as linear programming, integer programming, and goal programming are discussed. Stochastic models and Six Sigma are discussed in Chapters 16 and 17, respectively.


https://www.wileyindia.com/business-analytics-the-science-of-data-driven-decision-making.html

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