Customer Analytics by Coursera

In this course on customer analytics, Wharton's marketing professors provide a comprehensive overview of key areas in customer analytics. They discuss various data sources that can help predict future buying habits, such as credit card transactions, online shopping carts, customer loyalty programs, user-generated ratings and reviews. The course covers predictive analytics, descriptive analytics, and prescriptive analysis and how these techniques are applied to real-world business practices by companies like Amazon, Google, and Starbucks. The course aims to equip learners with the knowledge and tools to make informed business decisions using analytics. It covers important topics such as identifying and using the most important tools for customer prediction and analytics, as well as effectively communicating key concepts about customer analytics. This course is designed to introduce learners to the theory and practice of customer analytics.