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Business Analytics for Professionals
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Business Analytics for Professionals/ edited by Alp Ustundag, Emre Cevikcan, Omer Faruk Beyca.
other author:
Ustundag, Alp.
Description:
XIV, 481 p. 245 illus., 181 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Statistics . -
Online resource:
https://doi.org/10.1007/978-3-030-93823-9
ISBN:
9783030938239
Business Analytics for Professionals
Business Analytics for Professionals
[electronic resource] /edited by Alp Ustundag, Emre Cevikcan, Omer Faruk Beyca. - 1st ed. 2022. - XIV, 481 p. 245 illus., 181 illus. in color.online resource. - Springer Series in Advanced Manufacturing,2196-1735. - Springer Series in Advanced Manufacturing,.
PART I: TBA -- Chapter 1. Business Analytics for Managers -- Chapter 2. Big Data Management and Technologies -- Chapter 3. Descriptive Analytics: Feature Engineering & Data Visualization -- Chapter 4. Predictive Analytics with Machine Learning -- Chapter 5. Neural Networks and Deep Learning -- Chapter 6. Handling Unstructured Data: Text Analytics and Image Analysis -- Chapter 7. Prescriptive Analytics: Optimization and Modelling -- PART II: TBA -- Chapter 8. Supply Chain Analytics -- Chapter 9. CRM & Marketing Analytics -- Chapter 10. Financial Analytics -- Chapter 11. Human Resources Analytics -- Chapter 12. Manufacturing Analytics.
This book explains concepts and techniques for business analytics and demonstrate them on real life applications for managers and practitioners. It illustrates how machine learning and optimization techniques can be used to implement intelligent business automation systems. The book examines business problems concerning supply chain, marketing & CRM, financial, manufacturing and human resources functions and supplies solutions in Python.
ISBN: 9783030938239
Standard No.: 10.1007/978-3-030-93823-9doiSubjects--Topical Terms:
1253516
Statistics .
LC Class. No.: QA276-280
Dewey Class. No.: 300.727
Business Analytics for Professionals
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PART I: TBA -- Chapter 1. Business Analytics for Managers -- Chapter 2. Big Data Management and Technologies -- Chapter 3. Descriptive Analytics: Feature Engineering & Data Visualization -- Chapter 4. Predictive Analytics with Machine Learning -- Chapter 5. Neural Networks and Deep Learning -- Chapter 6. Handling Unstructured Data: Text Analytics and Image Analysis -- Chapter 7. Prescriptive Analytics: Optimization and Modelling -- PART II: TBA -- Chapter 8. Supply Chain Analytics -- Chapter 9. CRM & Marketing Analytics -- Chapter 10. Financial Analytics -- Chapter 11. Human Resources Analytics -- Chapter 12. Manufacturing Analytics.
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Engineering (R0) (SpringerNature-43712)
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