Business Analytics / Edition 1

Business Analytics / Edition 1

by James R. Evans
     
 

ISBN-10: 0132950618

ISBN-13: 9780132950619

Pub. Date: 02/24/2012

Publisher: Pearson

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

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Overview

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.

Product Details

ISBN-13:
9780132950619
Publisher:
Pearson
Publication date:
02/24/2012
Edition description:
Older Edition
Pages:
688
Product dimensions:
7.90(w) x 10.00(h) x 0.90(d)

Table of Contents

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

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