Introduction to R for Finance
Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.
Intermediate R for Finance
Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.
Manipulating Time Series Data with xts and zoo in R
The xts and zoo packages make the task of managing and manipulating ordered observations fast and mistake free.
Importing and Managing Financial Data in R
Learn how to access financial data from local files as well as from internet sources.
Time Series Analysis in R
Learn the core techniques necessary to extract meaningful insights from time series data.
ARIMA Models in R
Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.
Case Study: Analyzing City Time Series Data in R
Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.
Forecasting in R
Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.
Visualizing Time Series Data in R
Learn how to visualize time series in R, then practice with a stock-picking case study.
Introduction to Portfolio Analysis in R
Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.
Intermediate Portfolio Analysis in R
Advance you R finance skills to backtest, analyze, and optimize financial portfolios.
Bond Valuation and Analysis in R
Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.
Credit Risk Modeling in R
Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.
Quantitative Risk Management in R
Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.