This course could be much more engaging. It’s filled with long, general discussions without ever diving into details or practical actions. By the end, you’re left with many general notions but nothing actionable. The lessons and slides are poorly structured and tedious.

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

While the course provides many thought-provoking ideas, it is primarily theoretical. There are no exercises or code to implement. It would be beneficial to integrate real-world datasets and code to demonstrate potential analyses.

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.

Boring lectures. No practice problems, no cases, no projects, no scenarios.

unnecessary long videos, they could have in very crisp way.

Very basic course more appropriate for a high school level

The teaching materials and contents are very outdated.

I don t like this course. Really not helpful and empty

The terminology is a bit difficult to understand