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

10,592 classificações
2,314 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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2126 — 2150 de 2,262 Avaliações para o Análises do cliente


25 de Out de 2021

Too much theoritical and could have concentrated more on the regression part

por Heidhee A V

30 de Jul de 2021

I find week 5 topics most interesting as I learn actual application samples.

por FC C

22 de Mar de 2020

Good overview course but some information is too topline & already outdated.

por Yuduan L

28 de Out de 2015

The course structure is good. If there is more real cases, it would be good.

por Raoul G

13 de Out de 2015

Very much bird eye view. Not a lot of detail. A lot of obvious statements.

por Nicki R

3 de Mai de 2019

Some parts were heavy in math, but without explanation. Otherwise, great!


25 de Set de 2016

Including a few calculations will help in understanding the core concepts

por Daniel C

29 de Out de 2015

Some errors on video of prescriptive analytics. Not so practical course.

por Anoop V

22 de Mai de 2016

Expected to do some hands-on exercises on data sets to derive insights.

por Anubhav S

18 de Abr de 2020

The course could have given more insights on the current age examples.

por fallon c

8 de Out de 2019

It seemed very high level. No details, no formulas, no technical info.

por Danyal R

19 de Ago de 2017

Some lecture weren't up to the mark or it was difficult to understand.


12 de Out de 2016

practical example are need to visualize the current market situations

por Maria G

10 de Ago de 2016

El contenido del curso es interesante pero la participación es mínima

por Krishna C

4 de Jan de 2016

Course is good.But it would have been great with some data exercises.

por Ravi K

16 de Mai de 2017

It was full of theory. I am looking at propensity models application

por Archana y

10 de Abr de 2021

Course is very old and not up to date with current market scenarios

por Claudio S

16 de Abr de 2020

Good understanding of basic concept but to less real valuable skill

por abdul b

8 de Mar de 2016

Can be improved, predictive analytic s section was missing details

por Richard T

8 de Jan de 2016

Good introduction to analytics. Short. Not particularly demanding.

por Shankar S

24 de Mai de 2020

Very basic. But pretty decent for an introduction into the topic.

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