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NO DETAILED EXPLANATION

Very vague course.

Too superficial

normal

good

Very frustrating - students are required to use IBM proprietary products which are inconsistent in their results and even running - the exact same code will run in one notebook but not another. The instructions for the final test are incredibly unclear in what is expected. Their sample code they give to grade the final test DOES NOT run. IF you can finally get it to run it doesn't produce the same results as they require to pass the test. The peer grading is awful - I got both a 0 and a 100 which netted a 50 (fail) twice. The zero was even though I had all requirements met (which even if the results were wrong should have yielded partial credit) and the student gave no feedback yet there is no way to ask for a new grader. I've done several courses via this certificate. 1 - the IBM Watson studio requirement needs to go. It's awful in every way and has turned me off to using Python. How can I use a product in my job that every time I run the same code it gives me different results or just won't run? 2 - the peer grading needs a way to have a request to have it re-reviewed by someone else (I resubmitted with a full summary of my results at the bottom and the same person gave me a zero again). I only stuck through and finished the course because it is required to get the certificate.

For me this has been very disappointing, I really wanted to give this course and all the other courses in the IBM Data Science catalog a chance.

However I have not been able to get the answers I need to continue to learn from this course, the only way to get any real answers to questions that one might have is to make a post on the course forum and responses can take a very long time sometimes 3 days or more and considering the thousands of posted questions on the forum many can often go unanswered!

The only other way to really find answers is to do an online search, which I have found gives very generic answers to very specific issues, neither alternative has been helpful!

To give credit to the course, it may not be an issue with the course itself but rather the platform.

Either way I am still left disappointed and stuck and don't think I can continue to learn so long as my problems go unresolved!

I am really disappointed, the course is basically a really introductory course aimed for someone who doesn't know any math or programming. Not a single comment on the maths, or the algorithms of Machine Learning, only a really superficial description of the existing algorithms (a description of what are they for, nothing about how they really work).

And Python is just an anecdotic theme, only examples of notebooks on how to do a specific thing (most of the times without explaining much) and the final project is simply copy and paste the notebooks together.

I felt like I learned the least amount from this course when I was hoping to learn the most from it. The final assignment was extremely bad. The instructions were very confusing (it said to find the best k for all even though that only applies to KNN). In addition it was littered with typos and incomplete sentences adding to the confusion. If I hadn’t spent so much time and money on the courses prior to this one I would of quit based on the lack of quality in this course.

Maybe Good for some people but this course was proper useless for me, you must know python to take it otherwise you will struggle , because it doesn't show you any coding. its based on theory you watch videos that are 100% focused on mathematics...... at the end there is a peers graded assignments where other students grade your work and that can be a headache. i was abou to give two stars but because it gave me a headache from the start it deserves one star.

Like others, I need a solution for the localhost error in the final project other than "download and install other tools." I cannot change the configuration of the machine I am using. I cannot be alone in this as many employers, and public systems do not allow users to install products,

Is there something wrong with my code or is it (as I suspect) in the lab environment? Please take this issue seriously and fix the issues,

Only one advice. Do not purchase this course. Instead of teaching data science, the course is designed to promote IBM cloud platform. There is minimal exercise questions. Complete course is designed in a random, unstructured manner. The explanations provided are not adequate enough. This course is a complete waste of time, money and energy.

Please stay away from these IBM promotion videos(Professional Data Science Course)

It has been locked for me telling that I have to wait until 22 July ( 7 weeks !!) until I can continue . What the hack !! I had to pause for a month but it was clearly stated that one can proceed after a pause at any time. No possibility to get the deadlines reset is given either and on top of it the the help center is not reachable by email so that I could resolve the issue. Very, very frustrating !!!

This course was more advertising IBM products and at the end to do the final project asks to make an account in IBM. The procedure for building account is not updated with the current IBM website. Trying to make a IBM cloud account, I needed to enter billing information eventhough it was a free service...

I think IBM should try to improve their website before teaching others how to use it

Finished the course, now have to wait 6 weeks to receive a certificate anyway.

This course makes you use their awful third party application, which was a massive pain to setup due to errors on the IBM website.

The content is lackluster and barely talks about the important details of the algorithms used. The coding portions are essentially copy-paste and you feel like you learn nothing.

The capstone project in wk6 has too much technical problem in NS Labs. Same code that work perfectly in IBM cloud does not work in NS Labs due to compatibility problem. I cannot finish the capstone project in IBM cloud because I have used up all me free hours in IBM cloud. However, the provide notebook has too much problem in NS Labs. Very disappointed!

The course final to use multiple methods to predict loan payoff. No matter what model used, predicting 100% loan payout was more accurate. If the point of the project was to "show how you can't machine learning everything", I would say it succeeded there, but not a very good way to kick start a better understanding of ML applications.

Absolute waste of time. Content is outdated, and clearly not properly maintained. Final projects are based on data that is littered with errors, to include errors in the code written by IBM as an example to the student. I literally can't submit the final project because of an error in the instructors code.

Simply the second worst course I took on coursera (the first on is the upcoming one in this porf certificate course, where the guy records the videos in his car with his potato cellphone).

No clear explanation, one bored instructor shows ppt pages with little to no explanation of math equations.

very poor quality. limited information and explanation. The staff makes us feel like they are not confident enough to answer questions. The only reason for going on is that I already invested a lot of money and time. definitely not recommended. It should be improved.

I didn't like this. There's no one to ask questions. You take the course and leave full of doubts. The forum takes a long time to respond; the work is peer-reviewed. For those who already know it's good, but for those just starting out, I don't recommend

The course could have been broken down further—too much information to learn in a week. Two weeks have around 4 algorithms taught each week and all other weeks have less information. So, in 6 weeks, two weeks are tight and the rest are very loose.

Kindly don't waste your money in this professional certificate. It's of no use. You can get much better courses for just 12.99 on Udemy or you can do other specialization from U of Michigan or JHU. It is total waste of time and money

Before taking this course I suggest you clear some basics of Machine Learninig (like Machine Learning by Andrew Ng) to understand, this is a very shallow introductory course. This couse can help with learning libraries like sklearn.