Zum Hauptinhalt springen
Dekorationsartikel gehören nicht zum Leistungsumfang.
Python for Finance
Data analysis, financial modeling, and portfolio management (English Edition)
Taschenbuch von Dmytro Zherlitsyn
Sprache: Englisch

47,20 €*

inkl. MwSt.

Versandkostenfrei per Post / DHL

Lieferzeit 1-2 Wochen

Kategorien:
Beschreibung
DESCRIPTION
Python's intuitive syntax and beginner-friendly nature makes it an ideal programming language for financial professionals. It acts as a bridge between the world of finance and data analysis.
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 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 Python programming language to understand the basics of data preparation, visualization, and manipulation in the world of financial data.

KEY FEATURES
¿ Comprehensive guide to Python for financial data analysis and modeling.
¿ Practical examples and real-world applications for immediate implementation.
¿ Covers advanced topics like regression, Machine Learning and time series forecasting.

WHAT YOU WILL LEARN
¿ Learn financial data analysis using Python data science libraries and techniques.
¿ Learn Python visualization tools to justify investment and trading strategies.
¿ Learn asset pricing and portfolio management methods with Python.
¿ Learn advanced regression and time series models for financial forecasting.
¿ Learn risk assessment and volatility modeling methods with Python.

WHO THIS BOOK IS FOR
This book is designed for financial analysts and other professionals interested in the financial industry with a basic understanding of Python programming and statistical analysis. It is also suitable for students in finance and data science who wish to apply Python tools to financial data analysis and decision-making.
DESCRIPTION
Python's intuitive syntax and beginner-friendly nature makes it an ideal programming language for financial professionals. It acts as a bridge between the world of finance and data analysis.
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 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 Python programming language to understand the basics of data preparation, visualization, and manipulation in the world of financial data.

KEY FEATURES
¿ Comprehensive guide to Python for financial data analysis and modeling.
¿ Practical examples and real-world applications for immediate implementation.
¿ Covers advanced topics like regression, Machine Learning and time series forecasting.

WHAT YOU WILL LEARN
¿ Learn financial data analysis using Python data science libraries and techniques.
¿ Learn Python visualization tools to justify investment and trading strategies.
¿ Learn asset pricing and portfolio management methods with Python.
¿ Learn advanced regression and time series models for financial forecasting.
¿ Learn risk assessment and volatility modeling methods with Python.

WHO THIS BOOK IS FOR
This book is designed for financial analysts and other professionals interested in the financial industry with a basic understanding of Python programming and statistical analysis. It is also suitable for students in finance and data science who wish to apply Python tools to financial data analysis and decision-making.
Details
Erscheinungsjahr: 2024
Fachbereich: Anwendungs-Software
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
ISBN-13: 9789355516893
ISBN-10: 9355516894
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Zherlitsyn, Dmytro
Hersteller: BPB Publications
Verantwortliche Person für die EU: Books on Demand GmbH, In de Tarpen 42, D-22848 Norderstedt, info@bod.de
Maße: 235 x 191 x 21 mm
Von/Mit: Dmytro Zherlitsyn
Erscheinungsdatum: 30.07.2024
Gewicht: 0,719 kg
Artikel-ID: 129751759
Details
Erscheinungsjahr: 2024
Fachbereich: Anwendungs-Software
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
ISBN-13: 9789355516893
ISBN-10: 9355516894
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Zherlitsyn, Dmytro
Hersteller: BPB Publications
Verantwortliche Person für die EU: Books on Demand GmbH, In de Tarpen 42, D-22848 Norderstedt, info@bod.de
Maße: 235 x 191 x 21 mm
Von/Mit: Dmytro Zherlitsyn
Erscheinungsdatum: 30.07.2024
Gewicht: 0,719 kg
Artikel-ID: 129751759
Sicherheitshinweis

Ähnliche Produkte

Ähnliche Produkte