Data Analytics for Finance Using Python (Advances in Digital Technologies for Smart Applications) - Softcover

Untwal, Nitin Jaglal; Kose, Utku

Softcover

ISBN 10: 103261823X ISBN 13: 9781032618234

Verlag: CRC Press, 2024

Inhaltsangabe

Unlock the power of data analytics in finance with this comprehensive guide. 'Data Analytics for Finance Using Python' is your key to unlocking the secrets of the financial markets. In this book, you'll discover how to harness the latest data analytics techniques.

Über diesen Titel

Über die Autorin bzw. den Autor

Nitin Jaglal Untwal, PhD, is a distinguished scholar and educator in the field of finance, with a remarkable academic background and research expertise. Holding a doctorate in finance and master’s degrees in related fields like commerce, management, and econometrics, he has established himself as a prominent authority in financial data analytics, technology management, and econometrics modeling. With over 11 years of experience in teaching and research, Dr. Untwal has published numerous papers in esteemed databases like Scopus and Web of Science, solidifying his reputation as a leading researcher in his field. Recognized as a postgraduate faculty member by the S.P. University of Pune since 2008, he has also achieved success in prestigious eligibility tests, including UGC-SET in Management and State Eligibility Test Commerce. Additionally, he has completed a Faculty Development Program from the Indian Institute of Management, Kozhikode (IIM-K). Dr. Untwal’s wealth of knowledge and experience make him an invaluable contributor to this book.

Utku Kose, PhD, a distinguished scholar in computer science and engineering, joins Dr. Untwal in this literary endeavor. With over 200 publications to his name, Dr. Kose has demonstrated his expertise in artificial intelligence, machine ethics, biomedical applications, and more. His impressive academic background and extensive research experience make him a significant contributor to this book.

Details zur Ausgabe

• Verlag: CRC Press
• Erscheinungsdatum: 2024
• ISBN 10: 103261823X
• ISBN 13: 9781032618234
• Einband: Tapa blanda
• Sprache: Englisch
• Auflage: 1
• Anzahl der Seiten: 138
• Kontakt zum Hersteller: Nicht verfügbar