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

4.6
estrelas
9,409 classificações
2,082 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

MA

Aug 05, 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 31, 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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1226 — 1250 de 2,020 Avaliações para o Análises do cliente

por Mi A

Sep 27, 2019

good!

por BENKACEM N

Mar 23, 2019

great

por Manasvee M K

Dec 28, 2018

great

por Kshitiz S

Jan 28, 2018

great

por Caroline O

Feb 22, 2017

Great

por Shaz A

Apr 03, 2016

Great

por José A G

Dec 28, 2015

Great

por David N

May 27, 2020

Yyyh

por Soumyadeep M

May 23, 2020

good

por ROBIN R

May 20, 2020

GOOD

por Ravi r s

May 03, 2020

good

por VISHNU V

Feb 28, 2019

good

por joanna s

Oct 14, 2018

获益良多

por Momodou B

Mar 25, 2018

good

por shrayanka

Jul 17, 2017

Good

por Sunish G

May 06, 2017

good

por Kuljeet K

Mar 07, 2017

Good

por Rajshree R

Nov 01, 2016

Good

por Rukal V S K

Mar 28, 2016

good

por Mathew B

Nov 15, 2015

good

por Boitumelo S

Aug 13, 2020

wow

por Charu M

Oct 07, 2019

Cou

por chetan s

Aug 30, 2020

OK

por 吴小芮

Jul 14, 2020

很棒

por RUOXI L

Apr 15, 2019

gg