Chevron Left
Back to Customer Analytics

Learner Reviews & Feedback for Customer Analytics by University of Pennsylvania

4.6
stars
7,580 ratings
1,610 reviews

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

ND

Jan 31, 2019

Though I have worked on Customer Analytics with my previous work experiences and also on Surveys etc at George Brown College Canada, this module was more than insightful. Lots of learning to learn eh!

PJ

Feb 03, 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:

1451 - 1475 of 1,555 Reviews for Customer Analytics

By Ahmed M

Nov 24, 2019

i believe with more recent and new case studies on the tech-companies would be great

By Osman C

Oct 31, 2017

Me gustaría ver más ejercicios numéricos, para poder aplicarlos en nuestros trabaj

By Ebad A

Sep 24, 2019

Overall a good course but I felt that parts of it were too theoretical and long.

By Abhinav A

Nov 09, 2017

Focuses more on what is there in Customer analytics than how is analytics done.

By Ch F

Mar 22, 2020

Good overview course but some information is too topline & already outdated.

By Yuduan L

Oct 28, 2015

The course structure is good. If there is more real cases, it would be good.

By Raoul G

Oct 13, 2015

Very much bird eye view. Not a lot of detail. A lot of obvious statements.

By Nicki R

May 03, 2019

Some parts were heavy in math, but without explanation. Otherwise, great!

By PRABHAT K

Sep 25, 2016

Including a few calculations will help in understanding the core concepts

By Daniel C

Oct 29, 2015

Some errors on video of prescriptive analytics. Not so practical course.

By Anoop V

May 22, 2016

Expected to do some hands-on exercises on data sets to derive insights.

By fallon c

Oct 08, 2019

It seemed very high level. No details, no formulas, no technical info.

By Danyal R

Aug 19, 2017

Some lecture weren't up to the mark or it was difficult to understand.

By VINODH K

Oct 12, 2016

practical example are need to visualize the current market situations

By Maria G

Aug 10, 2016

El contenido del curso es interesante pero la participación es mínima

By Krishna C

Jan 04, 2016

Course is good.But it would have been great with some data exercises.

By Ravi K

May 16, 2017

It was full of theory. I am looking at propensity models application

By abdul b

Mar 08, 2016

Can be improved, predictive analytic s section was missing details

By Richard T

Jan 08, 2016

Good introduction to analytics. Short. Not particularly demanding.

By Ricardo S

Oct 11, 2015

It will be better to have some data to practice on regressions!!

By Alejandro S

May 07, 2019

Outdated information, but still learned data analytic insights.

By Erica C M

Feb 25, 2018

I belive it was too basic and superficial on analytics matters.

By sakshi l

Apr 26, 2018

Need practical knowledge on how to use models for prediction

By Juhong P

Jan 01, 2020

It is more difficult than I thought. Really helpful though.

By 张婧仪

Mar 04, 2018

Too much information that is not integrated nor systematic.