The final peer graded assignment has considerable coding issues. Regplot does not execute in the Watson Studio despite proper coding. During submission one question does not have the arrangement to upload JPEG file for submission so all you can do is post the code. The Q8 is dropped out of the blue with no reference availabe in any of the courses.

The course itself is very informative but it is very evident that no one is reviewing whether everything is working properly.

Unfortunately it's a bit rushed and the statistics module should be expanded and taken apart. The scripts in some "on-screen" quiz don't work and no matter what you type it just doesn't go wel. The quizzes are really hard and the whole module should slow down, and take the most important subjects and develop them. This is, ofc, a crash course and you can't expect more than this, but so far, it's the only downside to a brilliant professional course.

Thanks Coursera and IBM for providing this condition for all Enthusiasts.

In my opinion, in this course, Python did not learn in the best possible way.

I'm very sorry that your website does not verify Iranian users,

Your goal is to provide education for everyone,

Why should we, who are interested in education, be influenced by politics?

Isn't education the best way to help deprived countries?

I feel that this policy has no place in educational justice.

This course is not friendly to new beginners in Python. Especially the weeks 3-5 are too intensive without any real explanations of the logic behind the code shown. Linear Regression, ridge regression, etc are too advanced for new joiners who struggle with basic python. Also, there are some erroneous slides present in a couple of videos that add to the confusion. Would not recommend this course to any Python beginners.

Bad final exams, little to none explanation of information, lazy test and text writing. I was not interested in this course, I did not manage to learn much due to lack of theory and explanation why do I need to count these scores, what do I achieve with them and how do I choose methods. I feel like authors of this course are well educated on theme but did not care much to explain it to new learners

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.

Excelente curso, muy pedagógico, ilustrado, teoría y práctica hacen posible el aprendizaje. El feedback es fundamental y no lo proporcionan. Los script deberían aparecer al inicio para ir desarrollando el proceso, los codigos están desactualizados, hay funciones que no están vigentes en Python, librerías y funciones desactualizadas retrasan el avance, optimización y resultados.

Course starts off great up till and including module 3. From Module 4 (model dev) course gets a bit hectic and needs to be broken down smaller sections with more explaining. Important difficult concepts are packed into modules 4 and 5 more time and explaining is required here and quite honestly i have processed nothing from those modules 4 & 5 and i redid the modules twice.

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.

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.