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

4.6
estrelas
10,985 classificações

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

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.

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!

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2276 — 2300 de 2,354 Avaliações para o Análises do cliente

por Avazeh G

12 de mai de 2020

The course is more than 4 years old! One week out of 4 was really badly presented, the quize is irrelevant to the material presented in that week. Perhaps it is expected from a marketing professor to over-promise and under deliver but I'm disappointed. The other 3 weeks were quit good to build a foundation but still the course is out of date

por Kartik K

17 de jun de 2020

Takeaways:

The course structure is undoubtedly good. The given pattern is appropriate, and easy to follow.

Some audio issues persist in a couple videos. There is no feedback provided. One won't be able to check, "assess" and recheck his/ her performance in any, any of the quizzes.

Regards.

por JUAN R

16 de ago de 2020

This course is purely based on videos with very general concepts. There are no excersices at all or practice problems so that concepts can actually be applied. Quizzes ask for questions that are not properly explained or related to the material. I don't recommend this course.

por Stefano

23 de mai de 2016

For the price paid I would expect something more... It gives you an idea and show you examples. Good background course in order to show your interest in the subject. It could have been organized in a different way in order to make tinteractive and

por Varun R

17 de fev de 2017

Some really good weeks (Predictive Analytics and Case Studies) and some really bad weeks (Descriptive Analytics - surveys is not Descriptive Analytics and Prescriptive Analytics - which talks of marginal economics more than Analytics)

por Benjamin B

5 de nov de 2015

This course doesn't go enough in detail concerning the different customer analytics methods. The last part on applications focuses too much on what was going on in marketing in the past and doesn't address digital marketing enough.

por Zivile M L

29 de jan de 2016

The scope of the course is extremely limited. One could sit down and watch all 5 weeks' worth of lectures in one go. I would expect a lot more depth from something that is called a course. This is one good lecture at best.

por JASMINE T

1 de ago de 2022

Course instructors are very monotone. The information for tyhe quizzes are are only available via video or the powerpoint slide. A download od written notes, a glossary, or key terms would have been beneficial.

por Mike M

19 de jun de 2020

The mode of assessments very often did not tally with the delivered content. Some of it was very long with a lot of points that were not even used in the assessments but instead aspects not well addressed used.

por Grant I

1 de mai de 2017

The course provided some useful insights into methods of statistically measuring customer value, however, they only provide you with the spreadsheets to input data without really ensuring you understand the und

por Shayon S

12 de ago de 2020

Not very engaging, spoke a lot about companies that provide data collection and analysis vs the actual process and real-world examples of how someone can use it in a business setting. Boring delivery also

por Eva M

4 de mar de 2020

The level of questions on the quizzes week 3-5 does not match the level of the lectures and the "reading material" are just slides. Please provide additional reading materials, the videos are not enough.

por Kayundria H W

4 de dez de 2015

The quiz questions are confusing and ambiguous.

The lectures are dry and static. Some video backgrounds are distracting (people traversing hallways and stairs).

Uninspiring to engage. Dated production.

por Dmitry D

22 de jul de 2020

very topline and maybe too generic if you are looking for some practical and hands-on course on analytics. Customer analytics approach concept is fine, but nothing new and not really actionable.

por Matt S

25 de mai de 2016

It's not that it's bad – the sections with Peter Fader are interesting and the supplementary reading is interesting – but the level is very introductory and the content is uneven in quality.

por Adrienne A

12 de nov de 2016

Week 5 with Professor Bradlow is fantastic! More real-world examples and sample data sets to actually experiment with the concepts covered in this class would be welcome enhancements.

por Perry P

10 de out de 2015

Its honestly just a primer i learned no statistical modelling or how to program or how to obtain such data (data mine?).

I guess for a primer its good but application wise is meh

por James S

1 de nov de 2015

Although the content was very interesting and the basic concepts were good to know, the student doesn't ultimately gain any tools that they use upon exit of the course.

por J G

5 de jun de 2022

Quiz questions aren't close enough to the source material. Slides needed for questions are made available for download at the end of the week instead of the beginning.

por Robert

3 de set de 2018

Experienced it as 1, a lots of quantitative statistics, 2, focused on B2C. None of these really apply to either me nor the company, so most contents will not apply.

por Katelyn J

9 de out de 2015

Interesting assortment of professors but very little interaction in the course. Just 4 quizzes. Not very helpful for building a deep understanding of the material.

por Kaela W

12 de nov de 2015

Gave theoretical information but no practical, applicable information to use and help me do my job better. Quizzes didn't match information covered in videos.

por Anil K

13 de jan de 2016

I found this course to be very theoretical. Could have used some customer analytical examples to segment customers and any other similar applications.

por Pedro M

18 de jun de 2016

Great course, great content, I really like this course. But if English is not your first language, the exams are crafty enough to be in trouble...

por Prateek S

22 de out de 2016

Not helpful just provides only some basic insights. Not expected such type of course content, it could be more enriched in the course content.