Applied Time Series Analysis

Catalog description

Virtually every modern data involves collecting data at given time points (examples include commodity prices, river flows, corporate revenues, and global temperatures.) In this course, students will use learn proper techniques for applying time series analysis to a variety of real-world situations. This includes the handling, visualization, modeling and forecasting of time series data in R. Students will gain skills that can increase their employability and value to an employer.