This course provides exposure to a broad spectrum of data analysis and predictive modeling techniques. The course is divided into two segments. The first deals with data analysis via spreadsheets. It includes data handling and manipulation (e.g., lookup, index-match, pivot, and PowerPivot & data filtering); advanced functions (logical, text, date, statistical & financial functions); What if analysis & forecast. The latter focuses on statistical learning including unsupervised learning (e.g., clustering); and supervised learning (e.g., classification, neural networks). It also discusses model performance and deployment issues. Case studies will be evaluated to see its business applications.
Course ID: MIS-605
| Credit hours | Theory | Practical | Laboratory | Lecture | Studio | Contact hours | Pre-requisite | 3 | - | MIS-602 & MIS-603 |
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