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Essentials of Business Analytics

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Cover of 'Essentials of Business Analytics'

Table of Contents

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    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 3: Data Management—Relational Database Systems (RDBMS)
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Chapter title
Data Management—Relational Database Systems (RDBMS)
Chapter number 3
Book title
Essentials of Business Analytics
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-319-68837-4_3
Book ISBNs
978-3-31-968836-7, 978-3-31-968837-4
Authors

Hemanth Kumar Dasararaju, Peeyush Taori

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 40%
Student > Bachelor 1 20%
Unknown 2 40%
Readers by discipline Count As %
Business, Management and Accounting 1 20%
Engineering 1 20%
Unknown 3 60%