Getting Started with Time Series Data and Analysis in SAS

This course offers basic introduction to time series data and analysis in SAS. The course is practical and example-driven, emphasizing how to apply the methods in real situations. Course modules include time series data management, basic analytic methods, data visualization for time series, and an introduction to ARIMA models. This course establishes basic time series data processing methods and helps discern which time series methods should be considered in a given situation and provide details with source code and concrete examples for each method.

About the Author

Dr. David J Corliss is a statistical astrophysicist specializing in the dynamics of evolving stellar and cosmic populations. A SAS user since 1995, with extensive work in statistical methods, time series analysis, reporting and visualization, operations research, big data methods, and analytic platform design. He presents regularly at local and national SAS events and other conferences. He is active in the American Statistical Association, writing a monthly column in Amstat News on Data for Good and serving on the steering committee of the Conference on Statistical Practice. Dr. Corliss is the Founder and Director of Peace-Work, an all-volunteer Data For Good collaboration of statisticians and data scientists providing analytic support for charitable groups and applying statistical methods in issue-driven advocacy for richer lives, stronger communities, and a better world.