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

11,273 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


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!


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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1551 — 1575 de 2,406 Avaliações para o Análises do cliente

por Anupama R

17 de nov de 2015

Great content with both the marketing theory aspects and the practical mathematical computations. The quizzes were challenging at an intermediate level, and really made us think about the hows and whys of the topics covered in the videos. The professors are all very enthusiastic (esp. Prof Fader) about the topic and this makes the videos extremely engaging. Only downside was that it would have been nice to have the data used for the customer RFM and other calculations, for our own tinkering and learning process. Overall, excellent course.

por Andres C A

11 de mar de 2018

Customer Analytics is eye openning, this course changed the perspective I had on the business I'm in charge of, at this moment I'm not aware of hoy my customers behave over time, how many of them have churned or wich of them will likely keep using my service, I had no focus at all of my customer behavior.

I gave 4 out of 5 because the course gives you a general prespective, it would be great if you could get some kind of homework to apply these lessons to real life. I'll try to make the excercises with my costumer data base.

por Antonio V

6 de mar de 2016

Extremely interesting topic. Some of the course material needs in my opinion some rework, in particular the Predictive Analytics week. Additional teaching or reading material would help better understand the nuances / deeper insights of the topic and be better prepared for the Quiz.

I'm NOT saying the quiz should be easier, far from that, I'm just saying more material is needed to better grasp the different topics and be more successful in the quiz as it is today.

Amazing topic and Faculty! Keep it up!

por Sahil G

8 de ago de 2016

A great course for an introduction to the world of Analytics. It is a very well drafted course which hits the right balance between a little more than just introduction, and in-depth knowledge of the subject. If you are new to this field and want to explore it, this course is perfect for you. It gives an interesting insight to the heights of usage of analytics in the world around us. By the end of the course, you will be able to answer yourself the question that should you be pursuing this field.

por Giancarlo P

16 de mar de 2019

Basic course on how to get a basic knowledge and literacy on the subject. I would have liked more real-life oriented questions - the chapter about customer centricity (Fader) is more about theoretical accomplishments and publications by the course professors, with lots of theory in it more than "how do I get to solve important corporate day to day business problems with this kind of knowledge"?. But it's every university-level course flaw, I guess.

Letting this alone, great course.

por Krzysiek S

14 de nov de 2015

Lecturers apparently have huge knowledge which is appreciated. However, I wish there is more knowledge in the materials/videos (for now, I think we just touch the subject without diving into the details). In addition, some of the exam questions were not covered in the materials (in my belief). However, this may be an advantage, that made me browse internet for more information which probably impact my learning process positively!

Anyway, I found this course as a good one!


por Khushbu W

21 de fev de 2018

I feel so awesome after going through this course! Its really informative but I really wished there was more to do and learn while elaborating concepts , more deeper. I understand its not possible to do so for online courses, but I really want to dig down more on this and it has definitely opened new doors for my thinking towards customers & monetising business! Thanks a ton to all the lovely instructors without whom this concept would never have dawned on me!

por Stephanie C

1 de set de 2022

I found this a useful overview of the topic, but hoped for a bit more opportunity to apply the knowledge on a practical level. I also found the wording of questions in the quizzes quite confusing at times. On passing a quiz, I think it would be helpful if there was some kind of explanation sheet that went through why the correct answer was the one it was, as at times I couldn't work out how the "correct" answers related back to what was taught in the videos.

por yanan z

22 de fev de 2022

Overall it's ok. I liked the third week of the course the most, Fader teachs about the use of cases and models in detail. However, I'm not satisfied with the fourth week of the course, the teacher omitted some key calculation process, and his market structure part is confusing. Also, there are many examples in the fifth week, but no in-depth description of how to achieve it, what relative models are there, and there are no reading materials.

por Karan M

27 de mai de 2021

The course was amazing. Wide variety of topics were covered and were explained by highly knowledgeable professors as well. 4 stars rating because the prescriptive analytics professor could have been more brief about what he is teaching. Also the different accent was acting as a barrier to process information, I believe he is a man with great knowledge. But slightly difficult to understand. Thanks alot for this wonderful course.

por José L S E

4 de mai de 2020

En mi caso no tuve problemas con el idioma pero los subtítulos en español tienden un poco a confundirte, ya que hay métricas y conceptos cuyo origen es, netamente, en inglés. Si conoces un poco de inglés será más que suficiente. Por otro lado, los temas muy buenos. Tienen que tener en cuenta que es un curso enfocado en la aplicación del customer analytics para la toma de decisiones de negocio; para nada operativo.

por Sugata B

9 de nov de 2020

This course was helpful in understanding the subject matter as a beginner. However, I do hope that Coursera will work towards ensuring that the assessment tests provide some kind of feedback for all responses since that should also be part of the learning experience.

I think you will find this course to be of greater value add if you are a student of marketing, business study or a sales/marketing professional.

por Yi X B

1 de out de 2019

Overall the material is solid. You need to have some marketing/analytical knowledge, otherwise some terminology or concept can be a little challenging to gasp at times. In my opinion, week 3 and week 4 were the most challenging in terms of depth of material and wording of the quiz questions. Week 5 was really interesting because there were many great examples that most of us can relate on a day-to-day basis.

por Heidi J

23 de out de 2021

There was a lot of practical information in this course, and I appreciated learning from some of the brightest minds in customer analytics. Some of the videos could use updates, but I appreciated the updates Dr. Fader included. Also, a discussion of the ethics and legality of collecting certain types of data would be a valuable addition to this course. Overall very informative and helped me in my work!

por Rodrigo A

14 de jun de 2020

The course provides high-level information but lacks a bit more of details or resources for people to know how to start applying the models. In addition, some info is already outdated in 2020 and could benefit from a refresh for the applications and case studies. Overall, it's a decent course to provide a high-level understanding of customer analytics for non-statistical / marketing people.

por Lilly N

31 de jul de 2020

Really cool and informative course -- changed the way I see analytics and the purpose of data collection! Really interesting and informative perspectives and research is shared. I felt like I was being lectured to and the quizzes are surprisingly challenging! I would loved to get some practice quizzes on regression and getting practice with excel-based questions and calculations.


16 de jul de 2019

Rich content with great examples. Professors are awesome.

My feedback would be to provide better content in the slides so we can review them at a later point in time and understand. The slides currently are very abstract.

The other feedback is some of the questions for the quiz are difficult to understand and more to do with how the question is interpreted rather than being tricky.

por Shalini U

6 de fev de 2018

Insightful course....helping to catch up executives with the latest developments in Marketing Analytics.While it is good for a high-level strategic overview,I would've also liked some intro into specific tool-boxes and models.( say,NLP,or use of MARS,,etc.)

Additionally, pls provide specific reading for Prescriptive Analysis section ( for students without economic background)

por Kerry B

22 de jun de 2017

It would be better/more helpful if the professors taught the actual models that business analysts use every day. I am just getting into business analytics from a different field, and would have appreciated learning/knowing how to perform things such as probability models, churn models, etc. that they reference in their videos. Overall this course was a good introduction.

por Fitrie R

29 de jun de 2020

I love most when Prof Eric Bradlow tell how tremendous of impact using customer analytics in different corporate. However real to-do-assignment is still missing here (such as work with modelling in real programming). I think this course is good for having an insight what customer analytics can do in various field. Thanks a lot Prof, highly appreciated for the knowledge

por Sarp E

18 de mar de 2016

Great class for everyone. I am an industrial engineering student and I am constantly using regression analysis. It was great to know how I can use different statistical methods used in quality management in other disciplines.

As a recommendation: Applications part was my favourite so I would like to see more applications of customer analytics by big companies.

por Ram S

18 de ago de 2016

Being in the industry, we tend to take things for granted and this course enabled me to course correct my view on how technology combined with market research is changing the customer dynamics. I enjoyed every module and the professors were very sensitive to deliver the complex content in a easy-to-understand manner. Looking forward to the next modules.

por Samik D

4 de jan de 2021

The Predictive Analytics module was great, especially with the BTWD model explained by Prof. Fader. The Descriptive Analytics module was also decently taken by Prof. Iyer. But the Predictive Analytics module by Prof. Berman was a letdown as it didn't really explain well how we should go about creating a Prescriptive Model at the granular customer level.

por hongwei l

20 de jul de 2017

it would be greater if the course can show us more real-world case study from what data we have and what we gonna do with the data to have that recommendation for the company. So far it is more likely to be a conceptual course that show us what kind of technologies and what data is trending now. But overall, a very good course for BA beginners :)

por Aaron F

17 de fev de 2016

This course provided a good overview of the concepts and applications of data analytics in business. Learning about how to analyze customer behavior was interesting and very applicable to real life. Some of the quiz questions were difficult, and having the ability to review and understand right/wrong answers for study would be helpful.