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Learner Reviews & Feedback for Customer Analytics by University of Pennsylvania

4.6
stars
11,883 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.

AA

Apr 6, 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.

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2351 - 2375 of 2,534 Reviews for Customer Analytics

By CAMILO A R S

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Feb 5, 2020

The course have informatión, examples and other text so ancient. Tue course is not update to our days.

By Serene T S H

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Apr 1, 2016

This course is overall good for general knowledge. Would prefer more depth in terms of content touched.

By Dilip D P

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Aug 8, 2016

I expected a more in depth understanding of the course like learning the mathematical modes described

By Arnab G

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Nov 10, 2015

Quizzes are worded in a very round about manner, making passing them a test of the English language!

By prashant b

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May 25, 2020

It is good so far but need share the written case studies which was shared during the presentation.

By Meng Q

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Mar 26, 2020

This course is more like an overview instead of a detailed in-depth course. But very inspirational.

By Leandro R H

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Feb 7, 2016

The class should provide further reading to develop advanced topics. It's just a general overview.

By Javier J

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Sep 16, 2020

A lot of Profs self-promotion with little substance, no math and an just guessing on the quizzes.

By Gopalji T

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Oct 7, 2019

Should have more technical analysis level details to perform some analysis and check the outcome

By Ruben S

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Nov 12, 2015

Although it is quite basic, it is a good starting point for someone new in Customer Analytics

By Akshay B

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Dec 26, 2017

It is a good course about the usage and the application of Analytics in real world problems.

By Daniel P

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Sep 19, 2015

Boring.

too much talk about the same thing. Online courses must be faster, in my opinion...

By Andrei M

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May 5, 2020

Teach what your exam - exam what you teach. Week 3 is especially horrible in this term :(

By Febiana N R

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Mar 8, 2020

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

By Pallavi G

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Jan 28, 2017

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

By Adarsh

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Feb 12, 2020

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

By Borisov P

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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

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May 5, 2016

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

By Gagan M

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Dec 3, 2015

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

By Ahmed M

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Nov 24, 2019

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

By Osman C

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Oct 31, 2017

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

By Ebad A

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Sep 24, 2019

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

By siddhant d

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Sep 25, 2022

Overall, the explaination is adaption, But in may not be much relevant in 2022

By Abhinav A

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Nov 9, 2017

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

By Anuradha G

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Aug 7, 2022

Some of the models and statistics should have been given in depth explanation.