Time series are all around us, from server logs to high-frequency financial data. Learn the core techniques necessary to extract meaningful insights from time series data.
The xts and zoo packages make the task of managing and manipulating ordered observations fast and mistake free.
Learn the core techniques necessary to extract meaningful insights from time series data.
Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.
Creator of xts and quantmod
Associate Professor at Cornell University
Professor of Statistics at the University of Pittsburgh
Join 6,310,000 data science learners today!