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

There's a lot of discussion around what customer analytics is but not a lot of practical application to implement. I know in the beginning it said the course wouldn't be a lot of in-depth research, but the knowledge I've learned from this is extraordinarily high-level.

Theoretical part of the course is fantastic! Everything is explained nice and clearly. I wish there was more practical use of knowledge involved.

I have always dreamed to do MBA at Wharton Business School and thanks to Coursera I am one step closer to my dream school.

Thus far very informative, I'd give it the 5th star if it had had more practical content and maybe more case studies to work at and apply the knowledge acquired. In any case it opens up many more options to work with customer data and provides very valuable insights.

This course deals with what are the different types of data available and how to collect them and analyse them from the scratch. But could be better if they teach how to do programming atleast with excel so that the regression models and all can be easily understood.

Well thought out course - great start for beginners as it equips you with foundational knowledge. But, since the knowledge has a great depth to it, it makes it even more valuable for those looking to take these foundations and apply them in a more advanced manner.

The course is very useful and surprisingly easy to follow and understand. However, I felt sometimes the lessons and literature was too simple for the complex issues/subjects that are taught. Some more supporting literature would drastically improve the course.

The course content was good. The right level that I was expecting.

However there are some areas of improvement.

1) Some of the explanations were 'incomplete'. It felt like the math was skipped at times.

2) The right answers to quiz questions are never displayed.

Interesting and well planned course to get started in the concepts of customer analytics. Good examples and explanations, useful, simple and accessible. You learn to understand how to face the first steps to perform customer analytics and focus on data models.

It is good in general and it covers quite a lot os aspects. Nevertheless, It is very basic at first if you have basic business knowledge. By far, the last week with Eric Bradlow is the best.

By the way, the indian professor speaks too fast for me to understand.

Very interesting and very insightful. Before I took this course I thought I was going to analyze huge datasets using R or Excel but it turned out not to be so. The course content is solid but personally I think it must be fused with some real data analysis.

Great Introductory course. Tests, in my opinion, were not the best. For Example in week 3 there was a question about attribution problem. The attribution problem was not covered till week 5. I also could not find some of the answers to the questions asked.

A good course that will be useful for anyone looking to understand more about business data.

I wish the instructors walked through the regression models a little more to show how to make estimates when there isn't any existing price or quantity data points.

It's very helpful when the professors lay out a model and then a use case to follow. Predictive Analytics with Peter Fader was hard for me to follow, it felt less analytical and more abstract. Otherwise, it laid a great foundation for customer analytics.

Solid overview of customer analytics and how descriptive, predictive and prescriptive analytics interconnect to support firm-level decision making. Content not overly difficult. Challenging quizzes required reflection and thought, vs regurgitating content.

I loved the concepts which were introduced in this course. Although this was clarified by the course professors at the start, I would have loved to attain deeper knowledge about the various quantitative aspects of the course involving predictive modeling.

Interesting! More areas to learn from the course shared by professors. Will be more fruitful to give more examples and case studies on methods used by companies and % of improvement, benefits & ROI using customers analytics from companies' perspectives.

The teachers are experts in their fields, however some of them spoke very fast, they sometimes did not explain properly the ideas, and the slides were very basic. I recommend to revise and reestructure this course, including customer analytics updates.

This was a highly informative course. However, the exam for the third week was very confusing. The speaker was very engaging but he did not provide enough info or related links to help students. Maybe you should revise the lessons for the third week.

For a beginner like me, this course provided lots of insights and valuable knowledge about customer analytics. Certainly if you need to get a strong hold on the subject, you need to deep dive more but this definitely helped me to up-skill myself.

I loved it but it is important that if you want to start this, you must be willing to do some external investigation and study because it is needed in order to complete explanations and deeply understand material and answer some test questions.

Predictive analytics part should be done in a very basic way instead of hard language . And the mathematical part must contain detailed mathematical formulas and calculations of certain termed techniques. .Case Studies part is very interesting.

Great content !! Helped get a good grasp on how analytics is used by Business to get value from customers, although I would add the course lacks practical approach. It would be great to add practice problems to learn algorithms in a better way.

Para ter a nota máxima, apenas senti falta de mostrar mais a fundo passo a passo das análises, por exemplo, sobre predictive analytics houve toda uma introdução a possibilidades de ferramentas, mas nao se discutiu como operacionalizar os dados

Very good for the basic knowledge. Each part should have an associated project. Its understandable that due to busy schedule candidates would find the course material little difficult with project but it would have created a wonderful impact.

Study material should be with more in detail with basics although videos were quite knowledgeable and insightful, slides were not matching with that. Videos should be shorter in timing. max. The time of video lecture should be 9-10 minutes.