<p>Lecture, three hours (five weeks). Limited to Master of Science in Business Analytics students. Covers principal methods of time series data analysis and forecasting that are applicable in many functional areas of business, including simple and multiple regression, seasonal decomposition, AutoRegressive Integrated Moving Average (ARIMA), vector autoregressive, dynamic linear, error correction models. Use of R, RStudio and its various packages for regression and time series econometrics analysis and forecasting models. S/U or letter grading.</p>

Management-Master of Science in Business Analytics

The school's rigorous programs offer exceptional academic preparation, a cooperative and congenial student culture, and access to a thriving business community, as well as support services for scholastic and career advancement.

John E. Anderson Graduate School of Management

The school offers a variety of business and management programs to meet the diverse educational needs and professional goals of its students.

General Catalog

Forecasting and Time Series

MGMTMSA 437

2 units