![]() Students can use one of the following books. ![]() Be able to implement a forecasting process in practice. ![]() Explore, identify and model different types of patterns in time series.Apply and be familiar with popular forecasting methods.More specifically, at the completion of the course, each student should be able to: The primary objective of this course is to help the student understand the basic analytic techniques and processes for forecasting and how to use them to make better decisions. Business Analytics Using Forecasting (online course you will work through during the first 6 weeks).Forecasting tutorials (will continue to expand).This course covers issues relating to different steps of the forecasting process, from goal definition, through data visualization, modeling, and performance evaluation to model deployment. This course focuses on forecasting time series, where past and present values are used to forecast future values of a series of interest. Forecasting especially can provide a potent toolkit for analyzing time series data. Business analytics uses this data to make better decisions and forecasting is a powerful and commonly used branch of business analytics. There are a number of ways organizations can use this data. Companies, governments and other organizations now collect and analyze huge amounts of data about suppliers, clients, employees, citizens, transactions, and much more.
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