Customer Analytics
Data on browsing and purchasing habits may be found all over the place. There is a staggering amount of data that can be used to describe the past buying behaviors, predict future ones, and prescribe new ways to influence future purchasing decisions, ranging from credit card transactions and online shopping carts to customer loyalty programs and user-generated ratings/reviews.
Four of Wharton's top marketing professors will provide an overview of key areas of customer analytics in this course, including descriptive analytics, predictive analytics, and prescriptive analytics, as well as their application to real-world business practices such as Amazon, Google, and Starbucks, to name a few. This course will provide you an overview of analytics so that you may make well-informed business decisions.
It is not meant to equip learners to execute consumer analytics; rather, it provides an introduction to the theory of customer analytics. Learners will be able to explain the key techniques of consumer data collecting utilized by firms and understand how this data may inform business choices after finishing the course. In addition, the student will be able to convey essential concepts in consumer analytics and how the subject influences business choices.
This course offers:
- Flexible deadlines: Reset deadlines in accordance to your schedule.
- Certificate: Earn a Certificate upon completion
- 100% online
- Beginner Level
- Approx. 12 hours to complete
- Subtitles: English
Course Rating: 4.6/5
Enroll here: https://www.coursera.org/learn/wharton-customer-analytics
