In this course, students will learn to apply theoretical methods, such as those introduced in Business Analytics I, to real data. The focus of the course will be on Data Science (statistical/computational) methods and, to see how these methods can be applied in practice, the course builds around a case study related to advertising. Faced with a real-world data set, students progress through various steps of data management and model design in order to arrive at a business decision, which is effectively supported by quantitative methods.
Topics include:
- Basic Data Handling and Summary Statistics
- Data Processing and Visualization
- Hypothesis Testing
- Regression Models (Linear and Logistic)
- Optimization