DA-821 Data Analytics Toolkit III

Prerequisite:  DA-620. This course covers the statistical methods used for the time series analysis in healthcare data analysis. The course introduces the students to concepts of time series decomposition, stationary vs. non-stationary univariate series, various forms of ARIMA models (white noise, AR, MA, ARMA, unit root, co-integration, ARIMA, and seasonal ARIMA), as well as exponential smoothing, and multivariate time series models. Students will also learn how to apply these methods using a statistical software package. The course uses examples from the healthcare industry. Toolkit 2 and 3 do not need to be taken sequentially.

Credits

3