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

Maybe could be more extensive and profound

Almost no practical application

Not enough real world examples

Outdated slides and lectures

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The examination at the very end of every week must be taken once and you can retake it after 24 hrs, the questions must be different everytime you repaet it, add additional choices like instead of 5 choices make it 10, or use the Choose which all that applies principle. By making it rig free you are giving credibility to the exam and the test takers itself. The reason why on line course are not taken seriously is just because you can rig the result of the exam by keep on repeating taking it and memorizing the choices in the questions. YOU HAVE TO RESTRATEGIZE HOW NOT TO RIG THE EXAM so that it has credibilty and taken seriously.

Poorly designed. The lectures just consist of people talking to the camera with little visual aids. There aren't any materials to read over or study. The transcripts of the videos come in a .txt file... On the whole, really not at all the caliber I would have wanted to see from Wharton. If I had paid for this course, I would be really frustrated.

Quiz questions were not clear. Content was subpar for a "top" university. It seems like this was nothing more than a haphazardly put together course to make money and nothing more. This course felt like a complete waste of time and I believe the concepts and material in the modules are outdated.

In fact, i think this course is waste my time because the course only have lecture. They don't tell you how to use software to solve the problem even do not give any practical homework. Compared to other course, the quality of this course is extremely low.

It's hard to follow along, the instructor is mostly reading of slides and the level of teaching is of a low standard. The content is actually very good but its not put together well enough for a beginner in the field to capture the information.

audio is bad. takes too long to move from the fluff and abstract to anything concrete. week 3 has A HUGE gap between lectures and quizzes. showed some interesting concepts but doesnt tell us how we can get there and thus take data for granted

Sorry but as I started I can't keep up the pace of 1 week talking. The first instructor talks soo fast and the presentation is not really clear..I have full admiration for those you are able to get what he is talking about.

Not the course's fault but maybe when I hear the name "Wharton School" I over-expect.

However professors have done a very good job in keeping the course interactive, especially the Mary and Sharmila example.

Too theoretical. I expected that the trainers will use actual datasets and carry out some analytics. It was just theory of data collection, little bit of economics and marketing.

It's not a course for a university like Wharton. It's more professors showing their books and research without really showing any deep information.

Very high-level introduction, no new insights for a data analyst and "newbies" will probably drown in the "danger zone" due to the lack of details.

Very very basic information on customer analytics. Don't waste your time and money on this. Very disappointed, did not expect this from Wharton.

very broad level discussion . Doesn't tech you anything specific or skills that can be transferred to real world problems. Theoretical !!

The exam questions are a little out there... dont indicate retention of knowledge. Quite frustrating, I'll be dropping this course.

The fifth week course is interesting since the teacher provided lots of real world cases. However, other courses are too easy.

Talking heads - did not take advantage of the software to provide an engaging or challenging course. No depth to the material

The Capstone project has been getting delayed since Jan

Dont expect yourself to complete the specialization

Very disappointed!

This course does not provide sufficient explanation and the materials are very basic.

Very basic, no quantitative analysis, use of graphs or case studies. very poor course.

Lecture quality hugely varies depending on lectures. P.Feder is not recommended.