Financial Data Science

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 learning for financial data analysis, including deep learning and natural language processing. Accessible to readers without a specialized background in finance or machine learning, and including coverage of data representation and visualization, data models and estimation, principal component analysis, clustering methods, optimization tools, mean/variance portfolio optimization and financial networks, this is the ideal introduction for financial services professionals, and graduate students in finance and data science.

Author: Giuseppe Calafiore,Laurent El Ghaoui,Giulia Fracastoro
Binding Type: Hardcover
Publisher: Cambridge University Press
Published: 07/17/2025
Pages: 414
Weight: 2.34lbs
Size: 10.00h x 8.00w x 0.94d
ISBN: 9781009432245