Integrated approach to financial data analysis, modeling, and machine learning for holistic learning
Hands-on examples and exercises using real-world financial scenarios to reinforce concepts
Covers Python fundamentals, financial data processing, time series analysis, and machine learning techniques tailored to finance
Includes Jupyter Notebook code for interactive and replicable analysis
Applicable for students, analysts, and professionals seeking to enhance financial data science skills
Summarized by Shop
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
Format
E-Book
Language
English
Content
Python programming, financial data science, machine learning