Collard J. Hands-On Data Analysis in R for Finance 2023

Textbook in PDF format

The subject of this textbook is to act as an introduction to data science/data analysis applied to finance, using R and its most recent and freely available extension libraries. The targeted academic level is undergrad students with a major in data science and/or finance and graduate students, and of course practitioners/professionals who need a desk reference. Assumes no prior knowledge of R; The content has been tested in actual university classes; Makes the reader proficient in advanced methods such as machine learning, time series analysis, principal component analysis and more; Gives comprehensive and detailed explanations on how to use the most recent and free resources, such as financial and statistics libraries or open database on the internet