Serie temporali in R

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

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.

Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.

Learn how to visualize time series in R, then practice with a stock-picking case study.

Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.