Data about our browsing and buying patterns are everywhere. From credit card transactions and online shopping carts, to customer loyalty programs and user-generated ratings/reviews, there is a staggering amount of data that can be used to describe our past buying behaviors, predict future ones, and prescribe new ways to influence future purchasing decisions.
- To provide an overview of key areas of customer analytics: descriptive analytics, predictive analytics, prescriptive analytics, and their application to real-world business practices including Amazon, Google, and Starbucks to name a few. This course provides an overview of the field of analytics so that you can make informed business decisions.
- Recommended for individuals heading towards a career in data science / currently in a business data analyst/ data scientist role.
University of Pennsylvania
New applicants, Leadership
Method of Delivery
Can audit for free (no certification); Full Financial Aid Available for Certification