Articoli correlati a Financial Data Analysis Using Python
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This book will introduce essential concepts in financial analysis methods & models, covering time-series analysis, graphical analysis, technical and fundamental analysis, asset pricing and portfolio theory, investment and trade strategies, risk assessment and prediction, and financial ML practices. The Python programming language and its ecosystem libraries, such as Pandas, NumPy, SciPy, statsmodels, Matplotlib, Seaborn, Scikit-learn, Prophet, and other data science tools will demonstrate these rooted financial concepts in practice examples. This book will also help you understand the concepts of financial market dynamics, estimate the metrics of financial asset profitability, predict trends, evaluate strategies, optimize portfolios, and manage financial risks. You will also learn data analysis techniques using the Python programming language to understand the basics of data preparation, visualization, and manipulation in the world of financial data.
FEATURES
• Illustrates financial data analysis using Python data science libraries & techniques
• Uses Python visualization tools to justify investment and trading strategies
• Covers asset pricing & portfolio management methods with Python
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull?autore
Dmytro Zherlitsyn, PhD, has dedicated over 20 years to university teaching, business training, financial consulting, scientific research & data analysis. He has authored over 250 academic publications (e-learning courses, textbooks, scientific papers & monographs) in Economics, Finance, Data Science, System Analysis & Software Engineering. His work encompasses the development of predictive models for business & market analysis, including advanced regression, simulation & machine learning methods for financial sectors & the cryptocurrency market.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Financial Data Analysis Using Python
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Mercury Learning and Information, 2025
ISBN 10: 1501523864
ISBN 13: 9781501523861
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Financial Data Analysis Using Python
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
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Paperback. Condizione: New. This book will introduce essential concepts in financial analysis methods and models, covering time-series analysis, graphical analysis, technical and fundamental analysis, asset pricing and portfolio theory, investment and trade strategies, risk assessment and prediction, and financial ML practices. The Python programming language and its ecosystem libraries, such as Pandas, NumPy, SciPy, statsmodels, Matplotlib, Seaborn, Scikit-learn, Prophet, and other data science tools will demonstrate these rooted financial concepts in practice examples. This book will also help you understand the concepts of financial market dynamics, estimate the metrics of financial asset profitability, predict trends, evaluate strategies, optimize portfolios, and manage financial risks. You will also learn data analysis techniques using the Python programming language to understand the basics of data preparation, visualization, and manipulation in the world of financial data.FEATURES. Illustrates financial data analysis using Python data science libraries and techniques. Uses Python visualization tools to justify investment and trading strategies. Covers asset pricing and portfolio management methods with Python. Codice articolo LU-9781501523861
Quantità: Più di 20 disponibili
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Financial Data Analysis Using Python
Editore:
Mercury Learning and Information, 2025
ISBN 10: 1501523864
ISBN 13: 9781501523861
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Financial Data Analysis Using Python
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: New. This book will introduce essential concepts in financial analysis methods and models, covering time-series analysis, graphical analysis, technical and fundamental analysis, asset pricing and portfolio theory, investment and trade strategies, risk assessment and prediction, and financial ML practices. The Python programming language and its ecosystem libraries, such as Pandas, NumPy, SciPy, statsmodels, Matplotlib, Seaborn, Scikit-learn, Prophet, and other data science tools will demonstrate these rooted financial concepts in practice examples. This book will also help you understand the concepts of financial market dynamics, estimate the metrics of financial asset profitability, predict trends, evaluate strategies, optimize portfolios, and manage financial risks. You will also learn data analysis techniques using the Python programming language to understand the basics of data preparation, visualization, and manipulation in the world of financial data.FEATURES. Illustrates financial data analysis using Python data science libraries and techniques. Uses Python visualization tools to justify investment and trading strategies. Covers asset pricing and portfolio management methods with Python. Codice articolo LU-9781501523861
Quantità: Più di 20 disponibili
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ISBN 10: 1501523864
ISBN 13: 9781501523861
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Condizione: As New. Unread book in perfect condition. Codice articolo 49931607
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