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.