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The book uses case studies to illustrate how Python can enhance traditional research methods in accounting and finance, not only allowing the reader to gain a firm understanding of Pythonprogramming but also equipping them with the skills to apply Python to accounting, finance, and broader business research. Whether you are a PhD student, a professor, an industry professional, or a financial researcher, this book provides the key to unlocking the full potential of Python in research.
The book uses case studies to illustrate how Python can enhance traditional research methods in accounting and finance, not only allowing the reader to gain a firm understanding of Pythonprogramming but also equipping them with the skills to apply Python to accounting, finance, and broader business research. Whether you are a PhD student, a professor, an industry professional, or a financial researcher, this book provides the key to unlocking the full potential of Python in research.
Sunil Kumar, Ph.D., C.P.A., currently serves as an assistant professor of Accounting at the Mario J. Gabelli School of Business, Roger Williams University, USA. He is a seasoned academic with a diversified research portfolio. His innovative research approach is deeply rooted in the application of technology, distinguishing him in the academic field of accounting and finance. His command over Python and other advanced computational tools allows him to integrate complex technological processes into his research, enabling a nuanced and comprehensive understanding of accounting and finance phenomena. He is currently involved in several projects that use machine learning and deep learning approaches for predictive modeling in financial contexts, further emphasizing his commitment to leveraging technology in research.
Chapter 1: Introduction and Fundamentals.- Chapter 2: Data Acquisition and Cleaning.- Chapter 3: Exploratory Data Analysis and Visualization.- Chapter 4: Natural Language Processing and Text Analysis.- Chapter 5: Machine Learning and Predictive Analytics.- Chapter 6: Advanced Topics.
Erscheinungsjahr: | 2024 |
---|---|
Fachbereich: | Betriebswirtschaft |
Genre: | Recht, Sozialwissenschaften, Wirtschaft |
Rubrik: | Recht & Wirtschaft |
Medium: | Buch |
Inhalt: |
xvi
508 S. 467 s/w Illustr. 33 farbige Illustr. 508 p. 500 illus. 33 illus. in color. |
ISBN-13: | 9783031546792 |
ISBN-10: | 3031546792 |
Sprache: | Englisch |
Einband: | Gebunden |
Autor: | Kumar, Sunil |
Hersteller: |
Springer Nature Switzerland
Springer International Publishing |
Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
Maße: | 241 x 160 x 34 mm |
Von/Mit: | Sunil Kumar |
Erscheinungsdatum: | 27.06.2024 |
Gewicht: | 0,945 kg |
Sunil Kumar, Ph.D., C.P.A., currently serves as an assistant professor of Accounting at the Mario J. Gabelli School of Business, Roger Williams University, USA. He is a seasoned academic with a diversified research portfolio. His innovative research approach is deeply rooted in the application of technology, distinguishing him in the academic field of accounting and finance. His command over Python and other advanced computational tools allows him to integrate complex technological processes into his research, enabling a nuanced and comprehensive understanding of accounting and finance phenomena. He is currently involved in several projects that use machine learning and deep learning approaches for predictive modeling in financial contexts, further emphasizing his commitment to leveraging technology in research.
Chapter 1: Introduction and Fundamentals.- Chapter 2: Data Acquisition and Cleaning.- Chapter 3: Exploratory Data Analysis and Visualization.- Chapter 4: Natural Language Processing and Text Analysis.- Chapter 5: Machine Learning and Predictive Analytics.- Chapter 6: Advanced Topics.
Erscheinungsjahr: | 2024 |
---|---|
Fachbereich: | Betriebswirtschaft |
Genre: | Recht, Sozialwissenschaften, Wirtschaft |
Rubrik: | Recht & Wirtschaft |
Medium: | Buch |
Inhalt: |
xvi
508 S. 467 s/w Illustr. 33 farbige Illustr. 508 p. 500 illus. 33 illus. in color. |
ISBN-13: | 9783031546792 |
ISBN-10: | 3031546792 |
Sprache: | Englisch |
Einband: | Gebunden |
Autor: | Kumar, Sunil |
Hersteller: |
Springer Nature Switzerland
Springer International Publishing |
Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
Maße: | 241 x 160 x 34 mm |
Von/Mit: | Sunil Kumar |
Erscheinungsdatum: | 27.06.2024 |
Gewicht: | 0,945 kg |