Behavioral Analytics

Catalog description

In this course, students will learn how to analyze online behavioral data and apply the analysis results to explain phenomena and user choices occurred at online platforms, including e-commerce and social media sites. Various analytical techniques will be introduced, such as statistical comparison, controlled experiment, and linear and advanced regression models. In parallel, using real-world data, students will also learn the basic concepts in web analytics, search engines, social networks, etc. Through hands-on exercises and projects, students will apply these concepts and select appropriate techniques to answer business questions, summarized by reports and presentations.