Forecasting Analytics (#510)
Issued by
Statistics.com
The course objective is introduce on the most popular business forecasting methods: regression models, smoothing methods including Moving Average (MA) and Exponential Smoothing, and Autoregressive (AR) models. It also discusses enhancements such as second-layer models and ensembles, and various issues encountered in practice.
Additional DetailsEarning Criteria
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The methods of assessment include written papers, quizzes, and more with a minimum passing score of 80%.
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Instructional strategies include: audio visual materials, discussion, computer-based training, project-based instruction, coaching/mentoring, practical exercises, classroom exercise.
Endorsements
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American Council on Education
This credential has been successfully evaluated by the American Council on Education for college credit. Is is recommended for 3 Upper-Division Baccalaureate college credits in Forecasting Analytics. For more information about ACE Learning Evaluations, visit www.acenet.edu. -
American Council on Education
3 semester hours in forecasting analytics in the upper-division undergraduate category