Free delivery for orders over 69.99 euro.

Check order status

Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits. Create an account for free

Free delivery for purchases over 69.99 €

DPD courier 5.99 € Bpost point 7.99 € Bpost 7.49 € DPD point 3.49 € GLS courier 4.99 €

Contact

How to shop

Help

My account

▸ Empty :-(

Free delivery for orders over 69.99 euro.

Financial Data Science with Python

Name: Financial Data Science with Python
Brand: Business Expert Press
SKU: 48638518
Price: 29.06 EUR
Availability: InStock
Author: Haojun Chen
ISBN: 9781637428252

Haojun Chen

Language

English

Book Paperback

Libristo code: 48638518

Publishers Business Expert Press, May 2025

In today's finance industry, data-driven decision-making is essential. Financial Data Science with P... Full description

Libristo code: 48638518

70 b

29.06 €

In stock at our supplier Shipping in 14-21 days

Up to 30 days for returns

Customers also purchased

50 Useful Excel Functions M.L. Humphrey

Hardback

22.28 €

Using Excel for Business and Financial Modelling - A Practical guide, 3rd edition Danielle Stein Fairhurst

Paperback

76.27 €

Master Your Data with Excel and Power BI Miguel Escobar

Paperback

26.84 €

Stock Trading & Investing Using Volume Price Analysis Anna Coulling

Paperback

28.36 €

Complete Guide To Volume Price Analysis Anna Coulling

Paperback

24.81 €

Mathematical Techniques in Finance: An Introductio n Amir Sadr

Hardback

67.05 €

Technical Analysis of the Financial Markets John J. Murphy

Hardback

86.60 €

Quantitative Momentum Wesley R. Gray

Hardback

32.10 €

The Definitive Guide to DAX Marco Russo

Paperback

53.88 €

Microsoft Power BI Visual Calculations Madzy Stikkelorum

Paperback

46.39 €

Excel Helmut Vonhoegen

Paperback

41.52 €

Python in Excel for Data Pipelines Vincent Bisette

Paperback

40.11 €

Learning Generative AI Tools for Excel Angelica Lo Duca

Paperback

45.27 €

Financial Modelling in Excel Ujjwal Mishra

Paperback

19.34 €

Dětské hrátky pro nejmenší 3v1v plechové krabičce

Cards

9.92 €

EDITO A1 ELEVE 2022

Book

25.82 €

Mein Fußballheld Lamine Yamal - Seine Geschichte, seine Spiele, seine Rekorde Jon Davis

Hardback

11.84 €

Vánoční kurz - Meditativní úvahy a postupy k prohloubení umění léčit / Přednášky pro lékaře a studenty medicíny Rudolf Steiner

Hardback

8.60 €

Boku no kokoro no yabai yatsu - Tome 1 SAKURAI Norio

Paperback

10.42 €

Los Juegos del Hambre (Los Juegos del Hambre 1) Suzanne Collins

Paperback

13.06 €

Appaloosa Ogier maści Bay Overo

Toy

8.80 €

arte di Supercell

Paperback

39.40 €

SANCTIFY GODSSTATION

Book

16.70 €

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 with the tools to analyze complex financial data, build predictive models, and apply machine learning techniques to real-world financial challenges.

Beginning with foundational Python concepts, the author covers essential topics like data structures, object-oriented programming, and key libraries such as NumPy and Pandas. The book advances into more complex areas, including financial data processing, time series analysis with ARIMA and GARCH models, and both supervised and unsupervised machine learning methods tailored to finance. Practical techniques like regression, classification, and clustering are explored in a financial context.

A key feature is the hands-on approach. Through real-world examples, projects, and exercises, readers will apply Python to tasks like risk assessment, market forecasting, and financial pattern recognition. All code examples are provided in Jupyter Notebooks, enhancing interactivity.

Whether you're a student building foundational skills, a financial analyst enhancing technical expertise, or a professional staying competitive in a data-driven industry, this book offers the knowledge and tools to succeed in financial data science.