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

4.6
estrelas
10,280 classificações
2,254 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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2176 — 2193 de 2,193 Avaliações para o Análises do cliente

por Utkarsh

23 de Jul de 2016

very broad level discussion . Doesn't tech you anything specific or skills that can be transferred to real world problems. Theoretical !!

por Meir K

15 de Nov de 2015

The exam questions are a little out there... dont indicate retention of knowledge. Quite frustrating, I'll be dropping this course.

por Juan S W

8 de Abr de 2017

The fifth week course is interesting since the teacher provided lots of real world cases. However, other courses are too easy.

por Deborah H

14 de Jan de 2016

Talking heads - did not take advantage of the software to provide an engaging or challenging course. No depth to the material

por Sheryar P

28 de Mar de 2016

The Capstone project has been getting delayed since Jan

Dont expect yourself to complete the specialization

por Chieh Y

3 de Abr de 2016

Very disappointed!

This course does not provide sufficient explanation and the materials are very basic.

por Ahmad F

31 de Jan de 2020

Very basic, no quantitative analysis, use of graphs or case studies. very poor course.

por sayaka t

5 de Dez de 2015

Lecture quality hugely varies depending on lectures. P.Feder is not recommended.

por Johann Q

23 de Set de 2015

Boring lectures. No practice problems, no cases, no projects, no scenarios.

por David K

8 de Jan de 2016

Very basic course more appropriate for a high school level

por Rios A

22 de Out de 2018

I don t like this course. Really not helpful and empty

por Anchit R

17 de Mai de 2020

The terminology is a bit difficult to understand

por Vanessa A

23 de Mai de 2021

Too vague and general. Not worth the money.

por Atanu R

8 de Set de 2018

Other than Mr. Raghu, this course is trash

por hassan m

17 de Ago de 2020

the accent gets on my nerve

por Manikandan R

23 de Ago de 2017

Content is mediocre

por Harish M

23 de Mar de 2016

unstructured!!

por Tony

23 de Set de 2017

Too simple