The book introduces statistical models in the finance industry in a simplified manner. It has real-world examples supported by data and code that reproduces the models. The chapters explain the relevance of the models to business problems, and the discussions about the diagnostics explains how the models can be implemented. The book uses various graphical illustrations, rather than having a focus on equations, to help the reader understand complex models. The book is designed to be a quick introduction to various modeling techniques by explaining their key concepts.
The intended reader is someone aspiring to work in the financial industry, or one of the many financial industry professionals who want to explore its various facets. The reader could also be a student curious to know how theoretical knowledge is applied in the industry, or a finance professional who wants to up-skill and move on to another role. The book's audience may also include any individual who works as a data analyst, data scientist, data architect, data engineer, analytics and insights professional, business analyst, or someone who integrates the outputs of models in business strategy but isn't aware of how problems are solved.
