Course content not explained properly. Instructor introduced the topic and very less explanation on the topic provided. I have to study the topics with external help to gain the proper understanding. I would suggest to the course designers to redesign the course content with emphasis on explaining the concepts. All the topics covered under this course are lacking on explanation part.

This course was riddled with errors, it was honestly really hard to follow. It's also extremely frustrating that the errors were pointed out by others for a really long time (several months for some), and none of it were fixed.

The subject matter was also extremely difficult to follow and the explanations provided were insufficient for beginners.

The final assignment code had some major issues. I kept getting the error 'NaN, Infinity, or big data type' whenever I tried to compute inspite of my code being right (I cross checked my code with my peers assignment as well). The videos miss out several critical bits of information. This course was a very frustrating experience for me overall.

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.

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.

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...

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.

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.

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 IBM Developer Skills Network (at labs.cognitiveclass.ai) is very slow and doesn't work most of the time.

It doesn't allow to finish the course properly.

Content is thrown to the student with too much information and videos of only 3-4 minutes. Too much to absorb and too little to practice properly