Hands-On Data Analysis in R for Finance

Features content that has been used extensively in a university setting, allowing the reader to benefit from tried and tested methods, practices, and knowledge. In contrast to existing books on the market, it details the specialized packages that have been developed over the past decade, and focuses on pulling real-time data directly from free data sources on the internet. It achieves its goal by providing a large number of examples in hot topics such as machine learning. Assumes no prior knowledge of R, allowing it to be useful to a range of people from undergraduates to professionals. Comprehensive explanations make the reader proficient in a multitude of advanced methods, and provides overviews of many different resources that will be useful to the readers.