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

4.6
estrelas
9,952 classificações
•
2,198 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

ND
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!

MA
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.

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1301 — 1325 de 2,136 Avaliações para o Análises do cliente

por Manasvee M K

•
28 de Dez de 2018

great

por Kshitiz S

•
28 de Jan de 2018

great

por Caroline O

•
22 de Fev de 2017

Great

por Shaz A

•
3 de Abr de 2016

Great

por José A G

•
28 de Dez de 2015

Great

por David N

•
27 de Mai de 2020

Yyyh

por Soumyadeep M

•
23 de Mai de 2020

good

por ROBIN R

•
20 de Mai de 2020

GOOD

por Ravi r s

•
3 de Mai de 2020

good

por VISHNU V

•
27 de Fev de 2019

good

por joanna s

•
13 de Out de 2018

获益良多

por Momodou B

•
25 de Mar de 2018

good

por shrayanka

•
17 de Jul de 2017

Good

por Sunish G

•
6 de Mai de 2017

good

por Kuljeet K

•
6 de Mar de 2017

Good

por Rajshree R

•
1 de Nov de 2016

Good

por Suresh K

•
27 de Mar de 2016

good

por Mathew B

•
15 de Nov de 2015

good

por Boitumelo S

•
13 de Ago de 2020

wow

por Charu M

•
7 de Out de 2019

Cou

por chetan s

•
29 de Ago de 2020

OK

por 吴小芮

•
14 de Jul de 2020

很棒

por RUOXI L

•
15 de Abr de 2019

gg

por Meng H C

•
9 de Dez de 2020

ㄕ

por 안효선 안

•
27 de Jul de 2020

.

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