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 in R
Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.
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.