Chevron Left
Back to Customer Analytics

Learner Reviews & Feedback for Customer Analytics by University of Pennsylvania

4.6
stars
11,905 ratings

About the Course

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. In this course, four of Wharton’s top marketing professors will 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. It is an introduction to the theory of customer analytics, and is not intended to prepare learners to perform customer analytics. Course Learning Outcomes: After completing the course learners will be able to... Describe the major methods of customer data collection used by companies and understand how this data can inform business decisions Describe the main tools used to predict customer behavior and identify the appropriate uses for each tool Communicate key ideas about customer analytics and how the field informs business decisions Communicate the history of customer analytics and latest best practices at top firms...

Top reviews

JS

Dec 5, 2016

Fantastic course. The instructors were great, the real world examples were very interesting, and the course materials were relevant to the daily tasks I face as a Data & Customer Insights Analyst.

PJ

Feb 3, 2020

The course is very good. I have learned a lot from the course. A lot of interesting topics and help me to under the marketing. I will for sure continue learning more courses from this specialization.

Filter by:

2526 - 2541 of 2,541 Reviews for Customer Analytics

By Ahmad F

•

Jan 31, 2020

Very basic, no quantitative analysis, use of graphs or case studies. very poor course.

By sayaka t

•

Dec 5, 2015

Lecture quality hugely varies depending on lectures. P.Feder is not recommended.

By Johann Q

•

Sep 23, 2015

Boring lectures. No practice problems, no cases, no projects, no scenarios.

By ABHISHEK T

•

Oct 20, 2022

unnecessary long videos, they could have in very crisp way.

By David K

•

Jan 8, 2016

Very basic course more appropriate for a high school level

By Llama d

•

Oct 23, 2018

I don t like this course. Really not helpful and empty

By Anchit R

•

May 17, 2020

The terminology is a bit difficult to understand

By Vanessa A

•

May 23, 2021

Too vague and general. Not worth the money.

By Atanu R

•

Sep 8, 2018

Other than Mr. Raghu, this course is trash

By Deleted A

•

May 26, 2022

This is not where I want to be.

By hassan m

•

Aug 17, 2020

the accent gets on my nerve

By Deleted A

•

Oct 18, 2021

unrelated to my job

By Manikandan R

•

Aug 23, 2017

Content is mediocre

By Harish M

•

Mar 24, 2016

unstructured!!

By zhizong y

•

Nov 25, 2022

uselss class

By Tony

•

Sep 23, 2017

Too simple