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Financial Data Science with Python: An Integrated Approach to Analysis, Modeling, and Machine Learning - Couverture souple
Synopsis
In today’s finance industry, data-driven decision-making is essential. Financial Data Science with Python: An Integrated Approach to Analysis, Modeling, and Machine Learning bridges the gap between traditional finance and modern data science, offering a comprehensive guide for students, analysts, and professionals.
This book equips readers with the tools to analyze complex financial data, build predictive models, and apply machine learning techniques to real-world financial challenges.
Beginning with foundational Python concepts, the author covers essential topics like data structures, object-oriented programming, and key libraries such as NumPy and Pandas. The book advances into more complex areas, including financial data processing, time series analysis with ARIMA and GARCH models, and both supervised and unsupervised machine learning methods tailored to finance. Practical techniques like regression, classification, and clustering are explored in a financial context.
A key feature is the hands-on approach. Through real-world examples, projects, and exercises, readers will apply Python to tasks like risk assessment, market forecasting, and financial pattern recognition. All code examples are provided in Jupyter Notebooks, enhancing interactivity.
Whether you’re a student building foundational skills, a financial analyst enhancing technical expertise, or a professional staying competitive in a data-driven industry, this book offers the knowledge and tools to succeed in financial data science.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Dr. Haojun Chen holds a Doctorate in Business Administration from the University of Manchester Alliance Business School and an MSc in Statistics from Colorado State University. His publications include research articles in reputable financial journals and multiple textbooks on financial data science. Dr. Chen has also served as a reviewer and book editor for top-tier international academic journals and publishers. With extensive experience in hedge funds and the securities industries, Dr. Chen is currently an associate professor of finance at Guangzhou Huali College International School.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Financial Data Science with Python: An Integrated Approach to Analysis, Modeling, and Machine Learning
Edité par
Business Expert Press, 2025
ISBN 10 : 1637428251
ISBN 13 : 9781637428252
Neuf
Couverture souple
Vendeur : California Books, Miami, FL, Etats-Unis
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Financial Data Science with Python
Edité par
Business Expert Press, US, 2025
ISBN 10 : 1637428251
ISBN 13 : 9781637428252
Neuf
Paperback
Vendeur : Rarewaves USA, OSWEGO, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : New. In today's finance industry, data-driven decision-making is essential. Financial Data Science with Python: An Integrated Approach to Analysis, Modeling, and Machine Learning bridges the gap between traditional finance and modern data science, offering a comprehensive guide for students, analysts, and professionals.This book equips readers with the tools to analyze complex financial data, build predictive models, and apply machine learning techniques to real-world financial challenges.Beginning with foundational Python concepts, the author covers essential topics like data structures, object-oriented programming, and key libraries such as NumPy and Pandas. The book advances into more complex areas, including financial data processing, time series analysis with ARIMA and GARCH models, and both supervised and unsupervised machine learning methods tailored to finance. Practical techniques like regression, classification, and clustering are explored in a financial context.A key feature is the hands-on approach. Through real-world examples, projects, and exercises, readers will apply Python to tasks like risk assessment, market forecasting, and financial pattern recognition. All code examples are provided in Jupyter Notebooks, enhancing interactivity.Whether you're a student building foundational skills, a financial analyst enhancing technical expertise, or a professional staying competitive in a data-driven industry, this book offers the knowledge and tools to succeed in financial data science. N° de réf. du vendeur LU-9781637428252
Quantité disponible : Plus de 20 disponibles
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Financial Data Science with Python
Edité par
Business Expert Press, US, 2025
ISBN 10 : 1637428251
ISBN 13 : 9781637428252
Neuf
Paperback
Vendeur : Rarewaves.com UK, London, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : New. In today's finance industry, data-driven decision-making is essential. Financial Data Science with Python: An Integrated Approach to Analysis, Modeling, and Machine Learning bridges the gap between traditional finance and modern data science, offering a comprehensive guide for students, analysts, and professionals.This book equips readers with the tools to analyze complex financial data, build predictive models, and apply machine learning techniques to real-world financial challenges.Beginning with foundational Python concepts, the author covers essential topics like data structures, object-oriented programming, and key libraries such as NumPy and Pandas. The book advances into more complex areas, including financial data processing, time series analysis with ARIMA and GARCH models, and both supervised and unsupervised machine learning methods tailored to finance. Practical techniques like regression, classification, and clustering are explored in a financial context.A key feature is the hands-on approach. Through real-world examples, projects, and exercises, readers will apply Python to tasks like risk assessment, market forecasting, and financial pattern recognition. All code examples are provided in Jupyter Notebooks, enhancing interactivity.Whether you're a student building foundational skills, a financial analyst enhancing technical expertise, or a professional staying competitive in a data-driven industry, this book offers the knowledge and tools to succeed in financial data science. N° de réf. du vendeur LU-9781637428252
Quantité disponible : Plus de 20 disponibles
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Financial Data Science with Python
Edité par
Business Expert Press, US, 2025
ISBN 10 : 1637428251
ISBN 13 : 9781637428252
Neuf
Paperback
Vendeur : Rarewaves USA United, OSWEGO, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : New. In today's finance industry, data-driven decision-making is essential. Financial Data Science with Python: An Integrated Approach to Analysis, Modeling, and Machine Learning bridges the gap between traditional finance and modern data science, offering a comprehensive guide for students, analysts, and professionals.This book equips readers with the tools to analyze complex financial data, build predictive models, and apply machine learning techniques to real-world financial challenges.Beginning with foundational Python concepts, the author covers essential topics like data structures, object-oriented programming, and key libraries such as NumPy and Pandas. The book advances into more complex areas, including financial data processing, time series analysis with ARIMA and GARCH models, and both supervised and unsupervised machine learning methods tailored to finance. Practical techniques like regression, classification, and clustering are explored in a financial context.A key feature is the hands-on approach. Through real-world examples, projects, and exercises, readers will apply Python to tasks like risk assessment, market forecasting, and financial pattern recognition. All code examples are provided in Jupyter Notebooks, enhancing interactivity.Whether you're a student building foundational skills, a financial analyst enhancing technical expertise, or a professional staying competitive in a data-driven industry, this book offers the knowledge and tools to succeed in financial data science. N° de réf. du vendeur LU-9781637428252
Quantité disponible : Plus de 20 disponibles
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Financial Data Science with Python: An Integrated Approach to Analysis, Modeling, and Machine Learning (Paperback or Softback)
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ISBN 10 : 1637428251
ISBN 13 : 9781637428252
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Paperback or Softback. Etat : New. Financial Data Science with Python: An Integrated Approach to Analysis, Modeling, and Machine Learning 0.83. Book. N° de réf. du vendeur BBS-9781637428252
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Financial Data Science with Python
Edité par
Business Expert Press, US, 2025
ISBN 10 : 1637428251
ISBN 13 : 9781637428252
Neuf
Paperback
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : New. In today's finance industry, data-driven decision-making is essential. Financial Data Science with Python: An Integrated Approach to Analysis, Modeling, and Machine Learning bridges the gap between traditional finance and modern data science, offering a comprehensive guide for students, analysts, and professionals.This book equips readers with the tools to analyze complex financial data, build predictive models, and apply machine learning techniques to real-world financial challenges.Beginning with foundational Python concepts, the author covers essential topics like data structures, object-oriented programming, and key libraries such as NumPy and Pandas. The book advances into more complex areas, including financial data processing, time series analysis with ARIMA and GARCH models, and both supervised and unsupervised machine learning methods tailored to finance. Practical techniques like regression, classification, and clustering are explored in a financial context.A key feature is the hands-on approach. Through real-world examples, projects, and exercises, readers will apply Python to tasks like risk assessment, market forecasting, and financial pattern recognition. All code examples are provided in Jupyter Notebooks, enhancing interactivity.Whether you're a student building foundational skills, a financial analyst enhancing technical expertise, or a professional staying competitive in a data-driven industry, this book offers the knowledge and tools to succeed in financial data science. N° de réf. du vendeur LU-9781637428252
Quantité disponible : Plus de 20 disponibles
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Financial Data Science with Python
Edité par
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ISBN 10 : 1637428251
ISBN 13 : 9781637428252
Neuf
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Financial Data Science with Python: An Integrated Approach to Analysis, Modeling, and Machine Learning
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Business Expert Press, 2025
ISBN 10 : 1637428251
ISBN 13 : 9781637428252
Neuf
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Financial Data Science with Python - An Integrated Approach to Analysis, Modeling, and Machine Learning
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Financial Data Science with Python: An Integrated Approach to Analysis, Modeling, and Machine Learning
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ISBN 10 : 1637428251
ISBN 13 : 9781637428252
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