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the course is introduction and it's not deep , i felt bored actually plus i was afraid form the Indian professor

Lots of theory and concepts, but little in the way of how to solve customer analytics problems yourself.

The material is very superficial and there is not much practice; all quizzes are conceptual only.

Compared to Operations Analytics class, this class does not provide as much applicable skills.

Very high level course, interesting as a background but doesn't really deep dive in any topic.

Poor organized, limited resources, lack of further explanation.

Need some practical application assignments instead of a quiz!

Outdated, and very few applicable lessons on today's market.

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It did not satisfy my thirst for knowledge on this topic

We did get our hands on any actual data to work with.

Too basic. Rather an overview, than an actual course

give automatic move the paragraph when they speech

Maybe could be more extensive and profound

Almost no practical application

Not enough real world examples

Outdated slides and lectures

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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 This course felt like a complete waste of time and I believe the concepts and material in the modules are outdated.

This course could be much more engaging. It鈥檚 filled with long, general discussions without ever diving into details or practical actions. By the end, you鈥檙e 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.