Skip to main content Accessibility help
Internet Explorer 11 is being discontinued by Microsoft in August 2021. If you have difficulties viewing the site on Internet Explorer 11 we recommend using a different browser such as Microsoft Edge, Google Chrome, Apple Safari or Mozilla Firefox.

Financial Data Science

Coming soon in July 2025

Authors

, Politecnico di Torino, , University of California, Berkeley, , Politecnico di Torino, , University of California, Berkeley

Description

Confidently analyze, interpret and act on financial data with this practical introduction to the fundamentals of financial data science. Master the fundamentals with step-by-step introductions to core topics will equip you with a solid foundation for applying data science techniques to real-world complex financial problems. Extract meaningful insights as you learn how to use data to lead informed, data-driven decisions, with over 50 examples and case studies and hands-on Matlab and Python code. Explore cutting-edge techniques and tools in machine…

  • Add bookmark
  • Cite
  • Share

Key features

  • Includes over 180 individual end-of-chapter problems to consolidate understanding
  • Written as a step-by-step introduction to machine learning concepts for financial applications, presented from first principles
  • A versatile textbook which can also serve as a self-learning manual for perspective quantitative finance professionals needing to acquire the basic tools of the trade

About the book