COURSE CONTENT
-
Module 1: Introduction to Business Analytics
Week 1
- Course Inauguration
- Course Overview
- Introduction to Business Analytics
- Digital Transformation -
Module 2: Prescriptive Analytics
Week 2
- Optimizing Complex Decisions
- Linear Programming Formulation
- Demonstration of the Spreadsheet Optimization Method
- Shadow Price
- Sensitivity Analysis -
Module 3: Predictive Analytics
Week 3
- Linear Regression
- Logistic Regression
- Classification & Regression Trees
- K-Nearest Neighbour
- Bayesian Analysis
- Error Types -
Module 4: Integrated Analytics
Week 4
- Neural Network
- Variable Selection Techniques
- Categorical Variables
- Model Selection
- Integration of Techniques -
Module 5: Case Study
Week 5
- Case Studies: Retail; Manufacturing; High-Tech
- Course Summary and Conclusion