Chevron Left
Voltar para Análises do cliente

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

4.6
estrelas
10,177 classificações
2,244 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.

Filtrar por:

951 — 975 de 2,182 Avaliações para o Análises do cliente

por Rutuja N

11 de Set de 2019

Helpful for non-technical explorers as well!

por Sakshi A

22 de Ago de 2019

This was really good experience of learning.

por s . v r

21 de Jun de 2019

Good to understand thinking in a logical way

por MD K A B A G

9 de Jan de 2018

Very good course and very easy to understand

por SAIRAM C

1 de Jan de 2017

THAT WAS A GREAT LEARNING EXPERIENCE. THANKS

por Daniel O

3 de Jul de 2016

Great choice to start in the analytics world

por Messias U

30 de Dez de 2020

My rating is what I expect from the course!

por Vedant M

13 de Jun de 2020

I would have liked more real time examples.

por Shaharol N B M

3 de Dez de 2018

Excellent knowledge about Customer Analysis

por Vignesh R

24 de Set de 2018

Great, Loved the course material & content!

por Rudraksh P

24 de Nov de 2019

Excellent Explanation and content delivery

por Ambika G

18 de Jan de 2019

Very helpful and interesting way of study.

por Moses A

2 de Jul de 2018

Awesome course. Gained a whole lot from it

por Arindam D

16 de Abr de 2018

The course is very helpful and Interactive

por Tom B

30 de Out de 2017

Great course for aspiring marketing people

por kartik

24 de Set de 2017

A must do course for future data analysts!

por Patrick M

2 de Mai de 2016

Excellent depth and breadth of instruction

por Chioma

22 de Set de 2020

The course was indept and very educative.

por ANIMESH S

10 de Jan de 2020

It was ery much helpful and knowledgeble.

por Akshay S S

1 de Out de 2019

Thank you for sharing information with me

por Srikar R

4 de Jul de 2019

very challenging and intellectual content

por Sasidhar N

14 de Jul de 2018

Best course with great leaning experience

por ALHASSIM B A

18 de Abr de 2018

This course is good for me as a beginner.

por Kartik G A

26 de Jan de 2018

Gives a good overview of analytics.

Thanks

por Rosana S X d O

21 de Mai de 2017

Interesting course with great professors.