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Voltar para Análises do cliente

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

4.6
estrelas
11,279 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

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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2051 — 2075 de 2,406 Avaliações para o Análises do cliente

por Rishav A

•

19 de nov de 2019

very informative and knowledgeable

por Kevin Y

•

4 de mar de 2019

Great Course, I loved the content.

por Gavin O

•

5 de ago de 2016

Good starter course on the topic.

por liz a

•

11 de nov de 2018

it was really good and thorough.

por plassey p

•

12 de ago de 2018

Great introductory level course.

por Vaasanthika R

•

11 de jul de 2020

the course was very insightful.

por Yinghao C

•

17 de mar de 2020

Easy to understand, good course

por Munavar A

•

9 de fev de 2017

Practically applicable concepts

por Karthikeyan M

•

23 de out de 2015

Lot of Assignments can be added

por Geo P

•

24 de ago de 2020

more theoretical as i expected

por Bianca C

•

3 de ago de 2020

Great course to gain knowledge

por Ole-Christian B

•

1 de ago de 2019

Helpful and with good insight.

por Gazal A

•

15 de out de 2015

Wonderful information Thankyou

por Gabriel A M

•

2 de jun de 2016

great course, new perspective

por Julian A

•

23 de abr de 2020

This course is a 100% theory

por Pradyumna M D

•

19 de abr de 2020

The course is designed well.

por Théo T

•

9 de jan de 2017

Intersting yet very basic ;)

por DARINE E Z

•

3 de nov de 2020

A very insightful course :)

por 澍旸 陆

•

30 de abr de 2020

Useful, but less data skill

por Srestha K

•

10 de jun de 2016

INFORMATIVE AND INTERESTING

por Ajay

•

14 de dez de 2019

Good course for beginners.

por William O P

•

4 de mar de 2016

Stunning and mind blowing!

por Ayo S

•

3 de abr de 2018

It was quite informative.

por Andres

•

5 de jan de 2018

Good as basic information

por Pouya S

•

18 de jul de 2021

It was very insightful.

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