Financial Data Science with Python: An Integrated Approach to Analysis, Modeling, and Machine Learning By Haojun Chen
eBook[PDF]

Financial Data Science with Python: An Integrated Approach to Analysis, Modeling, and Machine Learning By Haojun Chen

$30.00
✓ Secure checkout
✓ Instant digital download
✓ PDF document

Document details

Pages
154
File size
4.53 MB
Format
Digital PDF
Course
Finance
Category
eBook[PDF]
About this ebook
Financial Data Science with Python: An Integrated Approach to Analysis, Modeling, and Machine Learning by Haojun Chen is a comprehensive textbook published in April 2025. It bridges the gap between traditional financial theory and advanced computational analytics. [1]
Core Focus Areas
The book takes readers from programming fundamentals to complex predictive modeling using a hands-on methodology: [1, 2, 3]
  • Foundational Python: Covers object-oriented programming, data structures, and core libraries like NumPy and Pandas.
  • Time Series Analysis: Teaches statistical modeling for financial trends using ARIMA and GARCH models.
  • Machine Learning: Features supervised and unsupervised methods tailored to financial environments, including regression, classification, and clustering.
  • Practical Context: Connects coding directly to asset pricing, market forecasting, and pattern recognition. [1, 2]
Key Learning Deliverables
The curriculum is structured to deliver concrete, industrial-level competencies: [1]
  1. Clean raw financial datasets into model-ready structural variations.
  2. Assess portfolio risk profiles and isolate irregular high-frequency volatility shifts.
  3. Deploy interactive environments because all documentation and code examples are delivered via functional Jupyter Notebooks.
  4. Evaluate market scenarios utilizing downloadable datasets hosted on the Publisher's Website. [1, 2]
Target Audience
The material scales across multiple proficiency tiers:
  • Students building initial technical portfolios in quantitative finance.
  • Financial Analysts shifting from legacy spreadsheet workflows to automated environments.
  • Data Professionals needing domain-specific context for volatile market data. [1, 2]

File included

PDF
eBook-EPUB-Financial-Data-Science-with-Python-An-Integrated-Approach-to-Analysis-Modeling-and-Machine-Learning-By-Haojun-Chen.pdf 4.53 MB

Topics

Financial Data Financial Data Science with Python Machine Learning Python Science with Python
Related ebooks