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1.2 Introduction to Analytics
1.3 Introduction to R and the Analytics of Google’s Search Engine
1.4 Recitation: Understanding Food
2.2 Predicting the Quality of Wine
2.3 Moneyball: Sport Analytics
2.4 Recitation: Playing Moneyball in the NBA
3.2 Modeling the Expert
3.3 The Framingham Heart Study
3.4 Recitation: Predicting the Winner Before any Votes are Cast
4.2 Forecasting Supreme Court Decisions
4.3 Predicting Healthcare Costs
4.4 Recitation: Location, Location, Location
5.2 Sentiment Detection and Text Analytics
5.3 IBM Watson
5.4 Recitation: Predictive Coding
6.2 Recommendation Systems: Netflix Movie Data
6.3 Clustering for Customer Segmentation and Patterns of Heart Attacks
6.4 Recitation: Seeing the Big Picture
7.2 Visualizing the World
7.3 Visualization for Law and Order
7.4 Recitation: The Good, the Bad, and the Ugly
8.2 Airline Revenue Management
8.3 Radiation Therapy
8.4 Recitation: Google AdWords
9.2 Sports Scheduling
9.3 eHarmony and Integer Optimization
9.4 Recitation: Operating Room Scheduling
This course presents real-world examples in which quantitative methods provide a significant competitive edge that has led to a first order impact on some of today's most important companies. We outline the competitive landscape and present the key quantitative methods that created the edge (data-mining, dynamic optimization, simulation), and discuss their impact.
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