Too much theory there.

Assignment was useless.

Poorly designed course on a conceptual level.

Descriptions are too short and not in-depth.

The mechanically voiced videos are not good.

a bit boring but overall a useful overview

The course is very basic and boring.

the presentation is a bit robotic

Found it challenging to follow

Find it to be a bit boring.

Very Theoretical course.

Not very explanatory !

Way too theoretical.

Boring

This course feels like somebody took fragments of information from wikipedia and copy-pasted them in random sections with a rough outline as the guide. References to exercises, or links to EdX are found everywhere making this just unbearable. Did IBM's Watson write this course? Even ChatGPT3.5 would have done a better job, honestly. Beyond that, the material taught is so dense that a 3 minute video can take 20 minutes of back and forth googling for more answers. Overall, I think it provides a good framework for SELF-STUDY, don't expect you will learn and understand most of what they are talking about here as it was written with so much technical jargon and little explanations that it makes this almost a useless course for a beginner, and useless for advanced people might who probably know all of this already. So it really is a fail in all directions. Also, why does IBM keep using Voice Over actors to read badly written scripts? Why don't they hire a proper teacher/educator, and do training more like Microsoft Azure's courses that are built and written by the same advanced educator? I really hope future courses get better, otherwise I'm thinking of just abandoning the whole certificate and switching over to other solutions to learn the material. The only cool part, which apparently has now been removed were the Python Notebooks showing some of the research steps. I really hope IBM improves this.

In this course they will present you a Moron: John Rollins. They will present its methodology because he said so, "data science needs a methodology", even if it's the same methodology that statisticians and whoever works with data utilize since the beginning of time (just add Python and SQL), just presented in a redundant manner so that it seems new, well divided in useless general sections where you learn nothing. Just open a book related to applied marketing research and you will see how much has been stolen. Goddamn! Give my money back. And these are the people that work for IBM? These are the people that should teach you something? I don't know, maybe this is what US education looks like and it's really shitty, you get what you pay for and considering you are not taking a mortgage on your house, it's not worthwhile. In short, this course and all the previous ones are for first graders and no one employs first graders. Save your money!

Dear IBM,

I am not getting my certificate even after completing my course. They are asking for my ID verification, I have already verified my ID to them. My other friends have got this certificate, but they are only asking me to verify. The other course authorities are not asking for anything to anyone, not even me. So I request IBM to give me my due certificate before the time runs out, I will be very thankful to them if they do the needful.

Yours Sincerely

Rongon Das

Awful course - tends to slow a picture of a vegetable for minutes on end and talks behind it. As someone who learns from sight and doing this really doesn't help to absorb the information. The worked examples are way to complex for no coding knowledge and half of it doesn't work when you copy the code. There are even parts of the video where a table has been edited with a scribble in paint. I expect better from IBM and Coursera. Avoid if you can

The information presented was cursory and superficial. The case studies generally repeated the content of the lecture portion without sufficient practical content. The speaker droned in a consistently dull monotone.

Suggest more in-depth case studies illustrating the reasoning behind the various choices & decisions made. Suggest a more informative metaphor relevant to a practical, real-life scenario, other than a cooking metaphor.

The course could be nice as the final one of this specialization but not as the third in 10 part series for completely unprepared students. It's full of useless theoretical information for expirienced students who already know basic concepts of machine learning and at least have some practice in this field. Hope the next stages are much better.

I would give this course a 1 star because I did learn something. However, the teacher is extremely non engaging and his case study's do not make sense. The course was extremely painful to watch and very boring. He should put more reading materials and find another person to do the voiceover because I was falling asleep!

The videos made are really poor, it doesn't even use markers to explain where in the slides the instructor is teaching about. Also, I think the slides are very poor and most of the images in the slides were pretty unclear. Instructors explanation to problems is also very unclear, it seems that he's reading some script

Absolutely worthless course. Waste of time. You will only get begginner knowledge after listenin to videos with tedius useless information. Quizes also ask ridiculously detailed but useless questions such as what was the name of the guy who first came up with this method etc.

Terrible course. The slides have a very poor quality, explanations are extremely boring and monotonous. The lab is not bad per se, but you can't expect to drop lines of code without explanation and hope that people learn. I'm sorry but this course was disappointing.

Case study about the heart disease is too complicated. The presenter is boring and not engaging do if someone has no prior knowledge, this cause will not help matters. If I could rate is minus 5 star I will because it doesn't deserve to be rated one star.

The course is really theoretical, it uses really bad and iterative examples that does not help to understand the processes and the case studies use really complex code that it is imposible to understand unless you already know coding.