Who this book is for

This book is intended for data analysts, financial analysts, data scientists, or ML engineers who want to learn how to implement a broad range of tasks in a financial context. The book assumes that the readers have some understanding of financial markets and trading strategies. They should also be comfortable with using Python and its popular libraries oriented towards data science (for example, pandas, numpy, and scikit-learn).

The book will help readers to correctly use advanced approaches to data analysis within the financial domain, avoid potential pitfalls and common mistakes, and reach correct conclusions for the problems they might be trying to solve. Additionally, as the data science and financial fields are dynamically changing and expanding, the book contains references to academic papers and other relevant resources to broaden the understanding of the covered topics.