Essentials of Business Analytics 1st edition by Bhimasankaram Pochiraju, Sridhar Seshadri ISBN 3319688367 ‎ 978-3319688367

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ISBN 10: 3319688367
ISBN 13: ‎ 978-3319688367
Author: Bhimasankaram Pochiraju, Sridhar Seshadri

This comprehensive edited volume is the first of its kind, designed to serve as a textbook for long-duration business analytics programs. It can also be used as a guide to the field by practitioners. The book has contributions from experts in top universities and industry. The editors have taken extreme care to ensure continuity across the chapters.

The material is organized into three parts: A) Tools, B) Models and C) Applications. In Part A, the tools used by business analysts are described in detail. In Part B, these tools are applied to construct models used to solve business problems. Part C contains detailed applications in various functional areas of business and several case studies. Supporting material can be found in the appendices that develop the pre-requisites for the main text.

Every chapter has a business orientation. Typically, each chapter begins with the description of business problems that are transformed into data questions; and methodology is developed to solve these questions. Data analysis is conducted using widely used software, the output and results are clearly explained at each stage of development. These are finally transformed into a business solution. The companion website provides examples, data sets and sample code for each chapter.

Essentials of Business Analytics 1st Table of contents:

1. Introduction

Part I. Tools

2. Data Collection

3. Data Management—Relational Database Systems (RDBMS)

4. Big Data Management

5. Data Visualization

6. Statistical Methods: Basic Inferences

7. Statistical Methods: Regression Analysis

8. Advanced Regression Analysis

9. Text Analytics

Part II. Modeling Methods

10. Simulation

11. Introduction to Optimization

12. Forecasting Analytics

13. Count Data Regression

14. Survival Analysis

15. Machine Learning (Unsupervised)

16. Machine Learning (Supervised)

17. Deep Learning

Part III. Applications

18. Retail Analytics

19. Marketing Analytics

20. Financial Analytics

21. Social Media and Web Analytics

22. Healthcare Analytics

23. Pricing Analytics

24. Supply Chain Analytics

25. Case Study: Ideal Insurance

26. Case Study: AAA Airline

27. Case Study: InfoMedia Solutions

28. Introduction to R

29. Introduction to Python

30. Probability and Statistics

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Tags: Bhimasankaram Pochiraju, Sridhar Seshadri, Business Analytics