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

Title:
Textbook on Data Science and Business Intelligence for Corporate Decision-Making
Contributors:
Aithal, Sreeramana
Publisher Information:
Amazon
Publication Year:
2024
Collection:
Zenodo
Document Type:
Buch book
Language:
unknown
DOI:
10.5281/zenodo.10614365
Accession Number:
edsbas.15F13FFE
Database:
BASE

Weitere Informationen

About the Book: 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.