Data Science and Business Intelligence for Corporate Decision-Making: A Textbook

A comprehensive book plan on "Data Science and Business Intelligence for Corporate Decision-Making" with 15 chapters, each with several sections:
Chapter 1: Introduction to Data Science and Business Intelligence
Chapter 2: Foundations of Data Science
Chapter 3: Business Intelligence Tools and Technologies
Chapter 4: Data Visualization for Decision-Making
Chapter 5: Machine Learning for Business Intelligence
Chapter 6: Big Data Analytics
Chapter 7: Data Ethics and Governance
Chapter 8: Data-Driven Decision-Making Process
Chapter 9: Business Intelligence in Marketing
Chapter 10: Financial Analytics and Business Intelligence
Chapter 11: Operational Excellence through Data Analytics
Chapter 12: Human Resources and People Analytics
Chapter 13: Case Studies in Data-Driven Decision-Making
Chapter 14: Future Trends in Data Science and Business Intelligence
Chapter 15: Implementing Data Science Strategies in Corporations
Each chapter dives deep into the concepts, methods, and applications of data science and business intelligence, providing practical insights, real-world examples, and case studies for corporate decision-making processes.

Author: Sreeramana Aithal

Publisher: Independently Published

Publication Date: Feb 07, 2024

Number of Pages: 228 pages

Binding: Paperback or Softback

ISBN-10: NA

ISBN-13: 9798878887823