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Tipo: materialTypeLabelLibro - General
Ubicación Física: 658.401 / E92

Business analytics : methods, models, and decisions /

Autor: Evans, James Robert, 1950-.
Pié de imprenta: Boston : Pearson Education, 2016.
Edición: Second edition.
Descripción: 626 páginas, ilustraciones, gráficas, fotografías ; 20 x 25 cm.
ISBN: 9780321997821.
Tema(s):
Nota de Bibliografía: Incluye bibliografía.
Contenido: Part 1. Foundations of business analytics. Introduction to business analytics. Analytics on spreadsheets. Part 2. Descriptive analytics. Visualizing and exploring data. Descriptive statistical measures. Probability distributions and data modeling. Sampling and estimation. Statistical inference. Part 3. Predictive analytics. Trendlines and regression analysis. Forecasting techniques. Introduction to data mining. Spreadsheet modeling and analysis. Monte Carlo simulation and risk analysis. Part 4. Prescriptive analytics. Linear optimization. Applications of linear optimization. Integer optimization. Decision analysis.
Resumen: Business Analytics, Second Edition teaches the fundamental concepts of the emerging field of business analytics and provides vital tools in understanding how data analysis works in today’s organizations. Students will learn to apply basic business analytics principles, communicate with analytics professionals, and effectively use and interpret analytic models to make better business decisions. Included access to commercial grade analytics software gives students real-world experience and career-focused value. Author James Evans takes a balanced, holistic approach and looks at business analytics from descriptive and predictive perspectives.

List(s) this item appears in: Adquisiciones Sistemas 2017-
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Item type Current location Collection Call number Copy number Status Date due Barcode
Libro - General Libro - General Biblioteca UCATOLICA
Carrera 13
Colección General 658.401/ E92 (Browse shelf) Ej. 1 Available (Acceso Libre) 59600

Incluye bibliografía

Part 1. Foundations of business analytics. Introduction to business analytics. Analytics on spreadsheets. Part 2. Descriptive analytics. Visualizing and exploring data. Descriptive statistical measures. Probability distributions and data modeling. Sampling and estimation. Statistical inference. Part 3. Predictive analytics. Trendlines and regression analysis. Forecasting techniques. Introduction to data mining. Spreadsheet modeling and analysis. Monte Carlo simulation and risk analysis. Part 4. Prescriptive analytics. Linear optimization. Applications of linear optimization. Integer optimization. Decision analysis.

Sistemas

Business Analytics, Second Edition teaches the fundamental concepts of the emerging field of business analytics and provides vital tools in understanding how data analysis works in today’s organizations. Students will learn to apply basic business analytics principles, communicate with analytics professionals, and effectively use and interpret analytic models to make better business decisions. Included access to commercial grade analytics software gives students real-world experience and career-focused value. Author James Evans takes a balanced, holistic approach and looks at business analytics from descriptive and predictive perspectives.

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