Chevron Left
Back to Customer Analytics

Learner Reviews & Feedback for Customer Analytics by University of Pennsylvania

4.6
stars
11,890 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 provid...
...

Top reviews

ND

Jan 30, 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!

AA

Apr 5, 2017

Perfect Course for those who want to inquire insight and knowledge of how tons of data that we generate in our day to day life is being utilized by big organizations in optimizing their productivity.

Filter by:

2476 - 2500 of 2,536 Reviews for Customer Analytics

By Shikhar V

Dec 9, 2015

Wasn't practical and I couldn't take away many learnings from this course. Would have liked some hands on real world problems to work on.

By Mia Z

Feb 18, 2018

Too high level and there's no detail tools and exercise for analytics. I felt I didn't learn much after this course. Quite disappointed.

By Lauri S

Apr 10, 2016

While these courses have interesting subjects, the content is very light, requires little effort and hence results in little learning.

By sebastien k

Sep 26, 2017

Good introduction to get an helicopter view on the topic.

Lacking of hands on exercises and explanation of more advanced concepts.

By Cackowska D

Feb 11, 2017

it was quite difficult to follow , due the language barrier and it was only overview , they could gave a bit more informa

By Christiaan B

Sep 27, 2022

The content is good the presentation and the structure is really bad. It took so much more effort to follow and listen.

By Manoj J

Aug 6, 2016

I was expecting some models will be designed and solved in the class sessions. But the lectures contain only theories.

By Hussein M

Jul 25, 2020

the course is introduction and it's not deep , i felt bored actually plus i was afraid form the Indian professor

By Ananth V B

Feb 8, 2017

Lots of theory and concepts, but little in the way of how to solve customer analytics problems yourself.

By Hugo C

Nov 30, 2020

The material is very superficial and there is not much practice; all quizzes are conceptual only.

By Gladys L

Dec 26, 2016

Compared to Operations Analytics class, this class does not provide as much applicable skills.

By Noel F

Jan 25, 2016

Very high level course, interesting as a background but doesn't really deep dive in any topic.

By Shu L

Jan 19, 2023

Poor organized, limited resources, lack of further explanation.

By Harsh P

May 22, 2020

Need some practical application assignments instead of a quiz!

By Ian L

May 21, 2022

Outdated, and very few applicable lessons on today's market.

By Semen G

Nov 22, 2020

Субтитры не работают, тесты в любом случае на английском

By Daniel A

Oct 24, 2019

It did not satisfy my thirst for knowledge on this topic

By Ernst S

Aug 31, 2022

We did get our hands on any actual data to work with.

By Vyacheslav Z

Mar 18, 2019

Too basic. Rather an overview, than an actual course

By Maria K

Oct 14, 2020

Maybe could be more extensive and profound

By Jonathan Z

Feb 6, 2016

Almost no practical application

By Timothy D

Jan 17, 2019

Not enough real world examples

By Svetlana K

Sep 22, 2018

Outdated slides and lectures

By J R

Aug 18, 2016

-

By Inna P

May 8, 2023

It's all good and wonderful, but this course is outdated. Maybe these models are still valid, but the predictions that the dude made in the Application module (Netflix vs YouTube and Google Free Taxi) turned out to be a flop. It makes me think that these analytical models have much more limitations in the long run than people who teach them want to admit. We are living in 2023 and it seems that we can predict nothing, only make slightly better guesses.