Hands-On Data Analysis in R for Finance

Summary

• 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.