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Financial Data Analysis Using Python
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$54.99
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Product Details
Author:
Dmytro Zherlitsyn
Format:
Paperback
Pages:
505
Publisher:
De Gruyter (January 1, 2025)
Imprint:
Mercury Learning and Information
Language:
English
Audience:
Professional and scholarly
ISBN-13:
9781501523861
ISBN-10:
1501523864
Weight:
32.8oz
File:
TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20260828163830-20260829.xml
Folder:
TWO RIVERS
List Price:
$54.99
Country of Origin:
Germany
Pub Discount:
60
As low as:
$47.29
Publisher Identifier:
P-PER
Discount Code:
C
Case Pack:
18
Overview
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
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
