Financial Data Analysis Using Python

Produkt bewerten

Dmytro Zherlitsyn

Verlag:

Mercury Learning and Information

Unsere-Artikel-Nr.: P35554398

EAN: 9781501523861

Erhältlich:

Nicht auf Lager

Zustellung: Fr, 28.08.2026

Versand: Kostenlos

-2.3 %

CHF 65.–

CHF 63.50

Beschreibung

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

Spezifikationen

Sprache

Englisch

Autor

Dmytro Zherlitsyn

Erscheinungsjahr

2025

Format

Buch (Softcover)

Anzahl Seiten