Introduction to Time Series Analysis

Time series analysis concerns with methods for visualization and statistical analysis of data collected sequentially over time. This workshop is designed to introduce researchers to basics of time series data exploration and modeling.

After attending the workshop, you should be able to use standard R packages to:

  • perform exploratory data analysis with time series;- correct for trends and seasonality in time series data;
  • fit autoregressive and moving average models to data, and interpret the results;
  • perform clustering of multivariate time series data.

Prerequisite: Knowledge of introductory statistics including linear regression, and R programming at the level of BTRY 6010.