R objects: vectors, matrices, arrays, data frames and lists
Flow control: branching, looping and truth testing
Importing and manipulating data
Plotting with R
Module 1: Data Analysis with R
Manipulating data frames
Descriptive statistics
Inference and time series analysis
Module 2: R Applications
Regression analysis
Volatility modeling
Risk management: VaR and ES
Desk-Ready Skills
Learn the basic elements of programming in R
Learn essential data analysis concepts and techniques for finance
Build realistic applications for finance using Monte Carlo and finite difference techniques, including an American option pricer
Developers, quants, analysts, financial engineers and anyone seeking to become a better financial modeler. While not essential, a modest amount of prior programming experience will be beneficial. Some familiarity with financial instruments will be advantageous.