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Voltar para Análises do cliente

Comentários e feedback de alunos de Análises do cliente da instituição Universidade da Pensilvânia

10,926 classificações
2,383 avaliações

Sobre o curso

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...

Melhores avaliações


4 de ago de 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.


30 de jan de 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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2226 — 2250 de 2,335 Avaliações para o Análises do cliente

por Jason G

17 de mar de 2016

Does not have very engaging material or assignments.

por Celine X

10 de abr de 2016

need more specific tools instead of pure concepts.

por Leonardo A

5 de dez de 2015

I little to much superficial. But still usefull.

por Shirley Z

17 de dez de 2019

The instructor is extremely dull to listen to

por Denis G

16 de dez de 2015

There are not enough quantity of assignments.


23 de mar de 2022


por Sukirtha S

14 de out de 2020

Pretty outdated but still somewhat useful!

por Alexandra A

18 de ago de 2020

Lectures are very dry and unengaging.

por Luis M

20 de jan de 2022

Some information needs to be updated

por Brittany M E

28 de mar de 2017

Lots of talking, not a lot of doing.

por Terry-Ann L

21 de fev de 2016

I found this course difficult...


12 de dez de 2017

A good workout for my brain :)

por Cedric G

5 de abr de 2016

week 1 is a little complicated

por Kumar A

21 de jun de 2016

It's provides good exposure!

por Diego F

16 de fev de 2016

Good, but not on my scope.

por Jiaqi Z

25 de set de 2016

not so interesting

por Saira B G

19 de ago de 2016

For the secod week

por Mohamed M

19 de out de 2016

very high level

por Marica C

15 de dez de 2015

good insights!

por Osama F

13 de nov de 2021

Decent Course

por Brown S

14 de fev de 2021

Great Course.

por Manish M

30 de mar de 2020

Not my thing!

por 麦仝历

10 de jun de 2019


por Antonio P L

6 de dez de 2015

Good Course

por Kayla S

20 de mai de 2020

This was an incredibly weak first course in the Specialization. It does lay necessary groundwork, but there are frustrations to be found. Lectures often do not clearly cover or even completely neglect to cover content found in the quizzes. One professor in particular seems to make it a point of pride that he has elected to create a quiz that requires an understanding of the topics beyond what he is willing to be provide. There is little to no interactivity with the concepts covered, which is a big disappointment. This course seems to primarily be an introduction to using data to better understand your customers; to that point, it would have been helpful to start the course off with a case study. As new concepts are introduced, they could be tied back to the study to better demonstrate where we use descriptive, predictive, and prescriptive analytics and how their outcomes might further guide our research. For anyone turned off to the Specialization by the underwhelming and often frustrating content of this course: keep going. I continued with Operations Analytics, which is much more hands-on and overall more rewarding. It seems to get better.