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Voltar para Análises do cliente

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

10,980 classificações
2,400 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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2201 — 2225 de 2,353 Avaliações para o Análises do cliente

por Borisov P

30 de ago de 2016

I think we could jump in theory a bit faster, week 1 and 2 are basically introductory.

por Pedro H d M H

5 de mai de 2016

The first week is the only one that is really worthy. The others are too superficial.

por Gagan M

3 de dez de 2015

Exercises were fine, but some more detailed reference material would have been great.

por Ahmed M

24 de nov de 2019

i believe with more recent and new case studies on the tech-companies would be great

por Osman C

30 de out de 2017

Me gustaría ver más ejercicios numéricos, para poder aplicarlos en nuestros trabaj

por Ebad A

24 de set de 2019

Overall a good course but I felt that parts of it were too theoretical and long.

por Abhinav A

9 de nov de 2017

Focuses more on what is there in Customer analytics than how is analytics done.

por Anuradha G

7 de ago de 2022

Some of the models and statistics should have been given in depth explanation.

por Erika C

28 de ago de 2020

Good theory, zero practice or info on how to build, run regression or models.

por Sandeep K

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 Ch F

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