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Essentials of Business Analytics

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Cover of 'Essentials of Business Analytics'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Data Collection
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    Chapter 3 Data Management—Relational Database Systems (RDBMS)
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    Chapter 4 Big Data Management
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    Chapter 5 Data Visualization
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    Chapter 6 Statistical Methods: Basic Inferences
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    Chapter 7 Statistical Methods: Regression Analysis
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    Chapter 8 Advanced Regression Analysis
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    Chapter 9 Text Analytics
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    Chapter 10 Simulation
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    Chapter 11 Introduction to Optimization
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    Chapter 12 Forecasting Analytics
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    Chapter 13 Count Data Regression
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    Chapter 14 Survival Analysis
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    Chapter 15 Machine Learning (Unsupervised)
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    Chapter 16 Machine Learning (Supervised)
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    Chapter 17 Deep Learning
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    Chapter 18 Retail Analytics
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    Chapter 19 Marketing Analytics
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    Chapter 20 Financial Analytics
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    Chapter 21 Social Media and Web Analytics
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    Chapter 22 Healthcare Analytics
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    Chapter 23 Pricing Analytics
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    Chapter 24 Supply Chain Analytics
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    Chapter 25 Case Study: Ideal Insurance
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    Chapter 26 Case Study: AAA Airline
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    Chapter 27 Case Study: InfoMedia Solutions
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    Chapter 28 Introduction to R
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    Chapter 29 Introduction to Python
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    Chapter 30 Probability and Statistics
Attention for Chapter 4: Big Data Management
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Citations

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129 Mendeley
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Chapter title
Big Data Management
Chapter number 4
Book title
Essentials of Business Analytics
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-319-68837-4_4
Book ISBNs
978-3-31-968836-7, 978-3-31-968837-4
Authors

Peeyush Taori, Hemanth Kumar Dasararaju

Mendeley readers

The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Germany 1 <1%
Unknown 126 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 33 26%
Student > Bachelor 20 16%
Student > Ph. D. Student 17 13%
Researcher 13 10%
Student > Doctoral Student 8 6%
Other 19 15%
Unknown 19 15%
Readers by discipline Count As %
Computer Science 38 29%
Business, Management and Accounting 32 25%
Economics, Econometrics and Finance 10 8%
Engineering 4 3%
Social Sciences 4 3%
Other 18 14%
Unknown 23 18%