Hands-On Data Analysis in R for Finance

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 or professionals who need a desk reference. Assumes no prior knowledge of RThe content has been tested in actual university classesMakes the reader proficient in advanced methods such as machine learning, time series analysis, principal component analysis and moreGives 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