Half of what is in the final assignment is not taught in the lessons or the labs. In the forum this is what everyone is complaining about. You spend your time googling and youtubing to teach yourself when you still are paying the coursera subscription fee, I completed every video and every lab and then was surprised when the assignment asks for things that were never mentioned. When this is brought up in the forum the staff just reply saying you should do your own learning. VERY DISAPPOINTING . Some content was good but not very in depth so it was then unfair to have a final assignment that was in depth.

This module stands out from the others in the learning track as repetitive, poorly structured from a testing and assessment perspective and light on applicable content. For example, rather than giving a link to why pie charts should never be used, perhaps take some time to cover the main points. You could use some of the time that was spent cleaning the same data set in every video.

The final assessment was poorly-described and a number of discussions seem to centre around question 3 and its format in the question vs the answer.

I've enjoyed the course, but not this module.

Video lessons with male instructor should all be deleted immediately. Instead, these videos describing different graph types could be a single 5 min video instead of the multiple videos repeating the exact same content. The instructions for the labs in this course were very difficult to follow compared with other IBM courses. A minor detail, but the English in the lab instructions is also often incorrect, e.g. many instances of 'an' instead of 'a' and other incorrect language. The instructions for the final assignment are poor. The course is simply not worth the cost.

This course cannot be followed outside of IBM it appears

I have started this course and have tried to run the initial material to download the Canadian Immigration xlsx dataset. This is not possible to do as I need to have a "box" account in order to access the data. I assume that IBM employees have a corporate account for this, but I would have to sign up and pay for a box account. Surely if this course is on coursera and supposedly available for anyone to take, then the course should be runnable as is and I shouldn't have to jump through hoops to make it work.

I have tried to work through several of the secondary courses in the IBM Data Science course and have to say most of the Jupyter notebooks will fail in the lessons, as there are deadlinks, and files which are no longer hosted online in the given links. I am discontinuing these courses as it seems they are no longer being supported.

example: The first lab in the Data Visualization with Python Course, and The SpaceX Data Analytics Notebooks ended when i could not access the prescribed data locations.

This course is poorly designed comparing with other courses in the data science certificate. There are many errors in the solution of labs, which is very confusing for beginners to figure out by themselves. If you check the discussion forum, you will see how many people are clueless and were mis-guided by the wrong solution.

The final assignment is also too advanced and the skeleton codes that were given also had a lot of errors, Would be helpful if the mistakes can get fixed for future learners.

Final assignment doesnt work and after many hours of trying, Im yet to find a solution. Once again, another extremely poor quality IBM course. Strongly recommend AVOIDING this course. In an attempt to push their own software on you, theyve made it so the course doesnt work. Many frustrated people in the forums with one one active staff member replying (and even that is sporadically). My current error has been reported for months by different people with no solution provided.

There were so many problems with IMB's software and the course's set up in general so it was almost impossible to concentrate on learning- most time i was trying to resolve different issues with IBM Watson (sometimes it didn't work, in some instances i had to use my credit card!! to register to the IBM cloud) rather than to study Data Science. Just before the final capstone course I decided to cancel my subscription and switch to another non-IBM Data Science course.

absolute shit the dash stuff is absolute crap and there is so many random errors in part two of the assignment that its not worth trying to go through all the errors. IT IS THE MOST UNERGONOMIC PLATFORM EVER USED!!!!!!!!!!!!!!!!!!!!. part one of assignment tells u to to take screenshots of things that arent necessary for submission and then doesnt tell you to take photos of the other things this is a complete joke and i wont be giving you guys anymore money

If I could give less stars, I would. The materials in the course were not explained properly, the labs did not work most of the time. In the discussion forum, all the help you get is someone telling you exactly what the instructions are (which is not working) and saying 'happy learning', like that is of any help at all. We wasted time on some subjects, only for the final assignment to be about dash and html, which have been extremely poorly explained.

This class was very disappointing. The language is awkward and difficult to understand. I'm unsure if it is a bad translation into English, or if it is AI generated, but much of it doesn't make sense. Some of the classes are out of order so the quizes reference material you haven't seen yet. It's hard to complete the labs because it is hard to understand what they are asking you to do. I would expect a course from IBM to at least be proofread.

Final assignment was the worst. Not difficult but simply to get the systems to work. Discussion forums are filled to the brim with people having difficulties. Tried to do it Jupyter notebook = issues, tried it in Thesia = issues. Instructors have made detailed information on frequent issues on the forums but compared to the 8 other courses in the IBM data analyst certificate this is by far the most problematic course.

Worst course in the data science sequence so far. Explanations are vague, examples do not always work, and assignments have new components added to them, the data are poorly suited for the visualizations (scatterplots are not used to show trends over time) and the instructor is too interested in showing how to make advanced (but little used) visualizations because they look cool--instead of focusing on common basics.

There were so many technical issues when you were completing the assignments. Even though you've followed the instructions step-by-step, you still have to spend a lot more time to solve those issues on your own by searching solutions online. Wasted plenty of time on dealing with the requied IDE based on Theia. The worst experience among other courses in this certificate series.

While I was working of this course I was under the assumption that like most courses I have taken, that I could work at my own pase. And yet when I went to work on the assingments for this course I could not complete them becuase they are time locked. seems unscassy and actically is hampering my complition of this course in a timely manner.

One of the worst courses available in this professional certificate. That one and the webscraping one feel like they were created in a hurry and no one ever bothered to go back and check if they work/make sense.

I would love to say i learned something in this course other than learning to be patient with unclear instructions.

This is single-handedly the WORST of the courses I have completed on Coursera. The final assignment is FULL of bugs and the staff are completely unhelpful in responding to MULTIPLE complaints about the bugs. You will not be able to complete this course if you sign up to it because of this. A total waste of time and money.

Nice contenent and lectures, however to do the final assignment and weekly lab the biggest problem was to make the environment work. I solved by using google colab installing packages. I think that the lab have to perfectly work on Watson, otherwise you do not understand if you are wrong or the environment is

One of the worst courses in the Data Analyst Certification. The peer graded final took me over one week to complete, after scouring every forum and discussion filled with peope all having the same issues. This program final portion needs to be re-evaluated. It was not helpful to understanding the material.

This course was very poorly thought out with an abhorrent final assignment. The forum was filled with classmates trying to figure out how to get things to work, and help from the instructors was copy/paste and not very useful. Many people will drop the certificate here I'm sure. Would not recommend.

This is the only course in the series I had trouble with the labs in - to the point that it significantly impacted my ability to even learn through troubleshooting my mistakes. I also don't understand how there is an optional assignment that is required to pass the course. That's not optional.

WORST EXPERIENCE IN EACH COURSE NO WATSON ACCOUNT CREATION , IN FORUMS IF ONE RAISES PROBLEM. LIKE A ROBOT THEY KEEP ON GIVING SENSELESS ADVICE TO CREATE NEW ACCOUNT ON IBM WEN THEY THEMSELVES KNOW FEATURE CODE CANNOT BE USED ON 2ND ACCOUNT. A BIG MISTAKE I CHOSE THIS COURSE

Labs mostly didn't work. And complex topics were 'explained' in videos that were 3-4 mins long. Basically have to spend a lot of time researching tutorials and videos online. This is the 8th of the 9 course series I've completed, and it was the worst of the lot.

This is the worst course out of the last 9 courses that I took of IBM. They succeeded making simple concepts very confusing and simple tasks cumbersome. Waste of time and money, I would rather just go read the official tutorials of matplotlib, plotly, and dash.

There needs to be a better way to submit coursework - the mess of having to screenshot and try to fit in all graphs was more laborious than the actual work of the course. A sentiment shared by MANY other people taking the course based on the discussion boards.