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

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10,924 classificações
2,383 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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2251 — 2275 de 2,334 Avaliações para o Análises do cliente

por Kaweerat P

21 de jun de 2020

On a good side, this course the essential understanding of Customer Analytics and in week 5, there's some interesting examples of how advance marketing analytics help businesses. But on the worse part, this course only provides the basic ideas - too broad. Most contents are solely based on examples each lecturer thinks of. It would be great if there's a case study or a data set sample for students to analyze and come up with recommendations.

por titus l

20 de fev de 2016

It is however a real eye opener to see the applications of customer analytics. However, I do wish there was more time to understand the statistics and the math behind the modelling. This course tells you the potential, but doesn't delve into the treatment of data. Also there is insufficient case studies and practice questions unlike the operations analytics module so it was difficult to get a handle of concepts without application.

por Alex S

25 de fev de 2017

Unlike the other three business analytics courses I completed, I thought this one was light on content, and lacking adequate coverage of concrete tools (formulas, software programs, etc.). In addition, the quiz questions for weeks 4 and 5 seemed to come out of left field, as if they had been prepared for a longer, more comprehensive course; not based on the small amount of material presented.

por Greta B

15 de nov de 2020

The information is topical. Nothing goes too in depth and you must do your own research outside of the course. The information is dated, but still relevant. The transcript/cc is transcribed incredibly poorly. This course requires an update and a proofreader. There are insights that are useful and helps you get a general sense of customer analytics. But from 3 or so years ago.

por Micah R

30 de out de 2015

Material is too introductory, barely skims the surface. It fails to dive into fundamental concepts beyond mere definitions, and the accompanying examples get bogged down in irrelevant details. The last section dealing with Application with Prof Bradlow is the only one that had some value, presenting a broad array of topics in an organized, simplified yet well-rounded manner.

por Lukas F

19 de mai de 2017

This course gives you an overview of customer analytics on a very basic level, however, sometimes too basic, even on a highschool niveau. For a paid service I expect the text to be tipo-free and the questions unambiguous. Some of the answers only consider the information just given in the video but not the big picture, therefore, they simply wrong.

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 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 James M

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.