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Voltar para Análises do cliente

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

9,559 classificações
2,125 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


Jan 31, 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!


Aug 05, 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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1801 — 1825 de 2,065 Avaliações para o Análises do cliente

por Ons M S A M

May 30, 2019

Great Insight

por Oluwadamilola A

Sep 20, 2017

Great course!

por akram

Nov 04, 2016

Great courtse

por Manojkumar P

Dec 29, 2015

Nice course.

por Nguyen P H

Sep 18, 2015

Great course

por ASIF S

Apr 30, 2020


por Arnab G

Jun 09, 2018

good course

por Robert B C

Sep 29, 2015

Good course

por Cesar E G M

May 14, 2020

Buen curso

por Khurram S K

Mar 26, 2016


por Gourav S

Aug 08, 2019

Good one

por PARK K B

Sep 09, 2020


por Joshua S

Apr 29, 2019


por Nazatul A B A R

Nov 05, 2016


por Alvin L

Mar 16, 2016


por waseem s

May 01, 2020


por yash

Apr 28, 2020


por 马雨禾

Nov 18, 2019


por Yash D

Jun 01, 2019


por thulasiram .

Sep 11, 2016


por Venkatesh C

Mar 02, 2016


por HymaPrashanthi

Jan 17, 2018


por Govind R A

Aug 01, 2017


por Hemant M

Jun 10, 2020

It was a good hands on basic Introduction for Customer analytics. However The introduction of descriptive,predictive and prescriptive analytics was mixed with marketing so the amount of time that could be dedicated to marketing was dedicated to introducing analytics. This course was more general knowledge and E-Commerce rather than marketing. I wanted the course to be more specific: How marketing theories help in building predictive models and What a marketing analyst knows that other data analysts don't know. If you are an absolute beginner in analytics, give it a try. Otherwise it may be too simple for you.

por Rick P

Jul 01, 2020

The lectures cover material at a strategic-high level that is easy to understand and apply (very limited technical guidance). I do wish the lectures provided a bit more technical guidance, but I got value from the strategic delivery. The quizzes sometimes dove into a level of detail that the lectures really didn't prepare me for. They also covered content that wasn't really aligned with the themes of the lectures and didn't add much value to me to learn. I found this confusing and really did not find the quizzes to be a good representation of the material, or a very useful component of the courses.