Customer Analytics

Provided by: Coursera

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.


Course Objectives:

  • 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 Background

  • Recommended for individuals heading towards a career in data science / currently in a business data analyst/ data scientist role.

Course ID

CA134

Skill Focus

Smart Technology

Instructor(s)

University of Pennsylvania

Employee Type

New applicants, Leadership

Method of Delivery

Digital

Estimated Effort

12 hrs

Cost

33.25$/month


Can audit for free (no certification); Full Financial Aid Available for Certification