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The International School of Guangzhou Huali College is proud to announce the publication of two pioneering books in the field of financial data science, written by our esteemed faculty member, Dr. Haojun (Edwin) Chen, Associate Professor of Finance. These books, Financial Data Science with Python: An Integrated Approach to Analysis, Modelling published by IGI (Information Resources Group) Global Scientific Publishing , and Machine Learning and Machine Learning and Modeling Techniques in Financial Data Science published by BEP(Business Expert Press) , underscore the school's commitment to excellence in education and research, as well as its leadership in the rapidly evolving field of financial data science.

Our faculty member, Dr. Chen, has made significant contributions to both the academic and practical applications of financial data science. His first book, Financial Data Science with Python (ISBN: 9781637428252), is the first comprehensive textbook specifically designed for business and finance students. The book serves as an accessible and rigorous guide to Python programming, financial modeling, and machine learning. It provides step-by-step instructions, practical examples, and real-world applications, making it an invaluable resource for students. This textbook is already being used as a core teaching resource in Python Data Science courses at our school, empowering the next generation of finance professionals with the skills they need to thrive in today's data-driven world.

In addition, Dr. Chen's second book, Machine Learning and Modeling Techniques in Financial Data Science (ISBN: 9798369381861), explores the cutting-edge integration of machine learning techniques in finance. This advanced research reference book brings together contributions from experts around the globe and delves into critical areas such as algorithmic trading, credit assessment, financial technology (FinTech), and deep learning. As the editor and contributor to chapters on Robo trading and Financial Machine Learning, Dr. Chen's expertise is evident throughout the book, making it an essential resource for professionals and researchers seeking to understand the role of machine learning in transforming financial markets.

These accomplishments are a testament to the dedication of our faculty and the high standards of academic excellence at International School of Guangzhou Huali College. Dr. Chen's books not only advance the field of financial data science but also reflect the school's broader mission to bridge the gap between academic theory and real-world practice. Our institution continues to be at the forefront of financial education, offering students cutting-edge tools and insights that enable them to navigate the complexities of the modern financial landscape.

The publication of these books highlights our ongoing commitment to providing students with the best possible learning experiences. Our school is proud to be a hub for innovative research and practical teaching, and we look forward to continuing to lead the way in the fields of finance and technology.

For more information on these books, please visit:

Author's Biography

Written by Jingxiang (Cecilia) Chen

Revised and approved by Shuze Tang