: Covers time-series, forecasting, portfolio selection, covariance clustering, and derivative securities. Advanced Techniques
: Provides an overview of financial statistics, securities (bonds/stocks), and the Capital Asset Pricing Model (CAPM). R for Data Science and Applications in Finance
: Automatically update reports and dashboards when underlying market data changes. Core Analytics Concepts Foundational resources like Financial Analytics with R (Cambridge) and the Financial Data Analytics with R review focus on several key pillars: