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

11,271 classificações

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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2276 — 2300 de 2,404 Avaliações para o Análises do cliente

por Ricardo S

11 de out de 2015

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

por Alejandro S

7 de mai de 2019

Outdated information, but still learned data analytic insights.

por Erica C M

25 de fev de 2018

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

por Astha A

2 de mai de 2020

Some coonection or flow was missing! I expected a lit more!!!1

por sakshi l

26 de abr de 2018

Need practical knowledge on how to use models for prediction

por Juhong P

1 de jan de 2020

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

por 张婧仪

4 de mar de 2018

Too much information that is not integrated nor systematic.

por robert k

7 de fev de 2016

Basic review for those with some familiarity on the topic.

por Ankit K A

18 de mai de 2018

Could have been more detailed into mathematics and models

por Niv U

9 de out de 2015

More hands-on experience would make this course better.

por Sonal A

27 de mai de 2020

some of the parts were extremely unclear rest was good

por Vainathayamalan V

16 de jun de 2018

No Tests allowed for free is completely unacceptable

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