Business Analytics
International Edition
Published on 15. March 2012
Book
Paperback/Softback
688 pages
978-0-13-305171-1 (ISBN)
Description
A balanced, holistic approach to understanding business analytics.
This book provides readers with the fundamental concepts and tools needed to understand the emerging role of business analytics in organizations. Evans also shows readers how to apply basic business analytics tools in a spreadsheet environment, and how to communicate with analytics professionals to effectively use and interpret analytic models and results for making better business decisions.
This book provides readers with the fundamental concepts and tools needed to understand the emerging role of business analytics in organizations. Evans also shows readers how to apply basic business analytics tools in a spreadsheet environment, and how to communicate with analytics professionals to effectively use and interpret analytic models and results for making better business decisions.
More details
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
College/higher education
Dimensions
Height: 251 mm
Width: 280 mm
Thickness: 23 mm
Weight
1090 gr
ISBN-13
978-0-13-305171-1 (9780133051711)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
James R. Evans
Business Analytics: Pearson New International Edition
Book
11/2013
Pearson Education Limited
€76.74
Article exhausted; check for reprint
Content
Part 1: Foundations of Business Analytics
Chapter 1: Introduction to Business Analytics
Chapter 2: Analytics on Spreadsheets
Part 2: Descriptive Analytics
Chapter 3: Visualizing and Exploring Data
Chapter 4: Descriptive Statistical Measures
Chapter 5: Probability Distributions and Data Modeling
Chapter 6: Sampling and Estimation
Chapter 7: Statistical Inference
Part 3: Predictive Analytics
Chapter 8: Predictive Modeling and Analysis
Chapter 9: Regression Analysis
Chapter 10: Forecasting Techniques
Chapter 11: Simulation and Risk Analysis
Chapter 12: Introduction to Data Mining
Part 4: Prescriptive Analytics
Chapter 13: Linear Optimization
Chapter 14: Applications of Linear Optimization
Chapter 15: Integer Optimization
Chapter 16: Nonlinear and Non-Smooth Optimization
Chapter 17: Optimization Models with Uncertainty
Part 5: Making Decisions
Chapter 18: Decision Analysis
Chapter 1: Introduction to Business Analytics
Chapter 2: Analytics on Spreadsheets
Part 2: Descriptive Analytics
Chapter 3: Visualizing and Exploring Data
Chapter 4: Descriptive Statistical Measures
Chapter 5: Probability Distributions and Data Modeling
Chapter 6: Sampling and Estimation
Chapter 7: Statistical Inference
Part 3: Predictive Analytics
Chapter 8: Predictive Modeling and Analysis
Chapter 9: Regression Analysis
Chapter 10: Forecasting Techniques
Chapter 11: Simulation and Risk Analysis
Chapter 12: Introduction to Data Mining
Part 4: Prescriptive Analytics
Chapter 13: Linear Optimization
Chapter 14: Applications of Linear Optimization
Chapter 15: Integer Optimization
Chapter 16: Nonlinear and Non-Smooth Optimization
Chapter 17: Optimization Models with Uncertainty
Part 5: Making Decisions
Chapter 18: Decision Analysis