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
Intermediate
Instructor(s)
Coursera
Employee Type
New applicants, Leadership
Method of Delivery
Online
Estimated Effort
12 hrs
Cost
Contact for Pricing
Can audit for free (no certification); Full Financial Aid Available for Certification