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Learner Reviews & Feedback for Customer Analytics by University of Pennsylvania

4.6
stars
10,501 ratings
2,298 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

MA
Aug 4, 2020

This course includes a comprehensive overview of the all the basic models that are used to analyze data concerning customer behavior. The real-life examples made it easier to relate to those theories.

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!

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2101 - 2125 of 2,245 Reviews for Customer Analytics

By Febiana N R

Mar 8, 2020

Week 3 are hard to understand and it is like built for someone with marketing background

By Pallavi G

Jan 28, 2017

Great learning experience, although it could be more practical from the very beginning.

By Adarsh

Feb 12, 2020

Could have been in a detailed manner and more study material should have been provided

By Borisov P

Aug 30, 2016

I think we could jump in theory a bit faster, week 1 and 2 are basically introductory.

By Pedro H d M H

May 5, 2016

The first week is the only one that is really worthy. The others are too superficial.

By Gagan M

Dec 3, 2015

Exercises were fine, but some more detailed reference material would have been great.

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 30, 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 9, 2017

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

By Erika C

Aug 28, 2020

Good theory, zero practice or info on how to build, run regression or models.

By Heidhee A V

Jul 30, 2021

I find week 5 topics most interesting as I learn actual application samples.

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 3, 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 Anubhav S

Apr 18, 2020

The course could have given more insights on the current age examples.

By fallon c

Oct 8, 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 4, 2016

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