Course started out alright but towards the end if became more about simply plugging in data into imported functions without a deep understanding as to the underlying mechanics. The part about pipelines was especially rushed.

Labs should provide new examples for students to work on instead of asking students to slightly modify code.

The devaluation of this specialization course reached the lowest when ADVANCED STATISTICS was introduced to all students without MENTINIONING in the course outline. It should have been ONLY for ANALHYZING the dats , instead of trying to cover whole of modeling and evaluation in a few slides which is never enough.

DISAPPOINTED.

This course is okay. The practical exercises are very easy. Therefore you don't learn that much. It's mostly choosing between one right and two ridiculous answers and copy-pasting code that was introduced immediately before the task. I'll probably have forgotten most of it by tomorrow. There are better tutorials on youtube.

Worst course I’ve ever taken on Coursera. It starts off ok, but quickly goes downhill. Many concepts very quickly or poorly explained; lab assignments filled with typos and errors and in some cases not connected to content in videos. I finished the course, but it was painful and I didn’t learn much. Very disappointed.

Rather poor way to get hands on learning. The "lab" does not offer an effective way to learn. This course was a poor substitute for a real instructor. Also, the last two weeks' material became more complicated but the information supplied to learn it did not increase nor provide clear or different explanations.

This course is not for anyone without pre-existing knowledge of statistics and basic python. Although I made it through the course, I ended without feeling confident I could apply any of the learnings on my own. Other more interactive coding courses I have taken have proven far more useful that this one.

Concepts were not explained in detail. Exercises were also very easy. Overall it was not enough for people who're looking to learn the concepts in depth and apply them to some real-world problems. Since it's a paid course expectation was to learn something substantial from it, but I'm disappointed.

The course itself 5 star. But because the lab experience is so terrible, I minus 3 stars. Please fix or remove Cognitiveclass completely from future courses, it delays my learning and interrupt my focus on the subject, there are 3 more courses to go and I can only expect more bad lab experience.

A lot of inconsistency and errors of the code in the videos presented. Expected a better quality for a course from IBM tbh. Also the assignment does not leave any room for creativity ut is merely a "code-along" exercise which does not require a lot of thinking...

Instructors seemed more like customer service reps than teachers. Their limited knowledge was a real drawback. The listed instructor does not teach this course. There really was no good information once the course hit pipelines and hyperparameters.

This course let me down. The crux of real-world is in analysis and in this course the author, IMHO, didn't do justice in explaining the concepts, the why are things done the way they are clearly; instead the author opted to breeze through things.

I can't reset my deadlines!! Why don't you send an email when the deadline is due soon?? Why does it seem like the course has no real support real time? Why is it so hard to get the IBM tools working? So many things are going wrong with this...

There were numerous issues with editing of the content in this course that certainly impacted its effectiveness. While that is not uncommon the forums indicated that these had been identified by other learners months ago and not addressed.

It's a very good course that I would recommend. My 2/5 rating is due to the difficult to use the coding notebooks: I often had to switch to Anaconda in my laptop, and I think it should be fixed. Apart from this, it's a 4/5 rating for me.

In lab there are many funtion , libiraries Which have been used first time with out any description , then I have to search for each and every funtion or lib which is way time consuming which make this course worst courses in my list.

The content of this course is too basic. Though it provides enough knowledge to start a practice. No 0 to 1 but more like 0 to 0.1. And Forum support is terrible. Can't really answer my question( don't even think they have read it ).

The topics are great, but the content is pretty terrible. The questions are incorrectly formatted and hard to understand. It would be nice if someone reviewed these before they make them live and you have to pay for them.

A lot of mistakes here. Clearly rushed and not given the care and attention it needed. Some assignments REQUIRE you to go to the discussion board to figure out what the author intended and why your code isnt working.

Does the job of a good introduction.

Very limited and restrictive practice and assinments.

For a true learning experience one needs to do a lot of external research and work to show a measureable benifit.

The content is good but there are a lot of mistakes and typos in the material. The peer review is extremely vulnerable to errors - only one person reviewed my assignment and gave me the wrong mark.

Useful course but riddled with typos & inconsistent questions and answers. Needs a proper review by someone (probably not the people answering on the forums, who didn't seem especially clued up).

The videos really are not very engaging (relative to any other course that I have completed here on Coursera). The concepts are not explained very thoroughly. Thanks anyway guys.

Too much content, so less practice. This course doesn't teach anything that you can make use of in the long term. It only gives an idea on what you have to work on in the future.

This is by far the worst course in the specialization. So many mistakes in the lab session, including unclear instruction, or syntax is not uniform across each module, and etc.

The artificial voice used over the video is truly awful for learning. I enjoyed the jupyter notebooks where I actually could learn what was bla-bla-blaed in the videos