This course focuses on statistical modeling of time series for accurate prediction leading to effective decision making. The course equips students with concepts and tools to deal with business time series data. The topics include time series basics, multiple regression, forecasting models, smoothing techniques, time series decomposition, error measures, and basic stochastics models. The course will extensively employ R throughout the course, where students are required to develop forecasting models using large real-world datasets.
Course ID: MIS-611
| Credit hours | Theory | Practical | Laboratory | Lecture | Studio | Contact hours | Pre-requisite | 3 | - | MIS-603 |
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