Very frustrating experience with lab. Not all labs works properly at least on my home computer.

Lots of technical issues in labs. The subject was not properly represented by the instructors.

I am happy with what I learned but I think it is not as good as the rest in the series.

Terrible IT support. Labs do not work. Never recommend IBM courses to anyone.

more examples in the lab for the most popular chart types is appreciated.

The IDE used for Dash is not user friendly.

Way too complex for an introductory course.

Hi,

I completed entire program and received the Professional Certificate. On the Coursera link of my certificate "3 weeks of study, 2-3 hours/week average per course" is written. This information is not correct at all, it takes approximately 3 times of that time on average! I informed Coursera about it but no correction was made. It should be corrected with "it takes approximately 19 hours study per course" or "Approx. 10 months to complete Suggested 4 hours/week for the Professional Certificate".

Here is the approximate duration for each course can be found one by one clicking the webpages of the courses in the professional certificate webpage: (*)

Course 1: approximately 9 hours to complete

Course 2: approximately 16 hours to complete

Course 3: approximately 9 hours to complete

Course 4: approximately 22 hours to complete

Course 5: approximately 14 hours to complete

Course 6: approximately 16 hours to complete

Course 7: approximately 16 hours to complete

Course 8: approximately 20 hours to complete

Course 9: approximately 47 hours to complete

This makes in total approximately 169 hours to complete the Professional Certificate. As there are 9 courses, each course takes approximately 19 hours (=169/9) to complete.

(*): https://www.coursera.org/professional-certificates/ibm-data-science?utm_source=gg&utm_medium=sem&campaignid=1876641588&utm_content=10-IBM-Data-Science-US&adgroupid=70740725700&device=c&keyword=ibm%20data%20science%20professional%20certificate%20coursera&matchtype=b&network=g&devicemodel=&adpostion=&creativeid=347453133242&hide_mobile_promo&gclid=Cj0KCQjw0Mb3BRCaARIsAPSNGpWPrZDik6-Ne30To7vg20jGReHOKi4AbvstRfSbFxqA-6ZMrPn1gDAaAiMGEALw_wcB

In general, I have no comments to make on the quality of the courses in this IBM Certification. The content is excellent, the teachers are competent. On these points this course is no exception to the rule. Nevertheless, I experienced my first frustration with this course. And my frustration grew exponentially with the amount of time wasted. (1) the first problems relate to the Theia tool and the very approximate support. And since the final submission is a Dashboard, I spent a few days installing my own tools. And trying to find a solution to submit my Jupyter notebook and run it. Typically Github and MyBinder*. (2) On the last day, I discover that the final submission consists of "screenshots". I wonder how such a bad idea could "germinate". The questions are confusing. It took me a little while to understand what the teacher wanted. Overall, I spent more time preparing the answers than writing the code. In reviewing the submissions of other students, I found that many had not understood the questions. One of the students got a 0, for submitting his Jupyter Notebook pdf to all questions. My frustration escalated. ------- There is an urgent need to redesign the submission process for this course! Either a Jupyter notebook on IBM Watson, or on Github with MyBinder* for the execution. The submission and correction process will be greatly improved. Thanks for reading me. *Clear illustration ofJupyter Notebook, GitHub + MyBinder, accessible to everyone. At 5:11 change "master" to "main" https://www.youtube.com/watch?v=owSGVOov9pQ

Honestly, this is the WORST course I have ever taken on Coursera. And Alex Aklson is the worst instructor. As a course on data visualization, it should focus primarily on how to VISUALIZE the data. In other words, when we have the processed and formated data, how can we turn it into plots. But in the videos, especially week 2, the instructor over and over again repeated the data processing for Canadian immigration. After watching the videos, what I remember most clearly is not how to make the plots but the total number of immigrants to Canada from each country. And for the most important part, that is, the details of how to generate the plots as well as applying various features, the instructor just spent very little time in the videos. Yes, a lot of them are covered in the lab, but remember that for a course, the lab should just be supplementary of the lecture. The instructor should teach those skills systematically in the VIDEOS, and the lab should only be used to reinforce our understanding of those skills. In particular, as has been mentioned in many comments, the final assessment requires using the artist layer which was only introduced a little bit in the lecture but NEVER taught in detail. This is not responsible behavior. Overall, I am very disappointed. And I hope that IBM can ask another instructor other than Alex Aklson to create a new version of this course.

The Data Visualization with Python course needs a serious review by the instructors. With the growing demand for Data Analysis skills across almost all industries, I decided to take all the courses on the IBM Professional Data Science certificate platform. I had taken 6 out of 9 courses when I took the Data Visualization course. It was the only course out of all of them that gave me a serious headache. The course honestly disappointed me and ruined my day, cos I could not figure out the Peer graded assignment. Data Visualization is one of the backbones of Data Analysis because it is a tool that is used to communicate with the world. I was excited to take the course and all was going smoothly till I took the final peer graded assignment. The scope was not covered in the course and it took me forever to figure out. Please, the instructors of this course should kindly review it and make the necessary adjustments for the sake of future individuals interested in the course.

Useless course, 0 explaination on dash. Poorly made labs, they put their IBM stuff that doesnt even work. Each course in this certification is pure pain beacuse almost nothing works as intended. Even the final test has FRONTEND issues that push you to guess on the answers, which is insane. Most labs contain errors (some of them are rather critical) which are not fixed for years. I found my problems in discussion forums that were dated like 2 years ago. And none of them were fixed since that time, even though the stuff confirmed that there are serious mistakes and problems. They just dont care. Most of the time you will spend half of your time not studying, but trying to execute IBM stuff that never works, or by searching and fixing course bugs and mistakes. You may run into situatons (VERY OFTEN) when your environment doesnt even start or execute, and you will have to pass a day of your life or more by waiting help for the stuff, that doesnt even help sometimes.

Very disappointing. Unfortunately, one of the worst course of the IBM Data Science professional certificate. It does not have the typical quality standards of an IBM course:

- Most of the videos are very short and do not go in the detail of the topic

- Videos have bad quality audio

- Labs are not laboratories where you use what you have learned, but the real lessons (without a deep explanation of what is done and why).

- Labs are also unbelievably full of typos.

- Most of the final assignment requires things that are not explained.

- The course also lacks consistency: they explain something and request totally something else regarding Data Visualisation (that you have to search on google).

- It should be a longer course, with longer videos that explain in detail how to make the various diagrams

I hope IBM will make a massive restyle of this course.

Do not attend the course if you are not obliged (you are studying for the IBM data science certificate).

Don't waste your time or money. There are so many errors in the labs it takes more time to get them to work as intended than it does to learn the material at hand. The quizzes are superficial, and the labs are just cutting and pasting code. There is little actual learning. The peer reviewed final assignment is also a waste of time. You will learn little about dashboards because all you do is cut and paste the code provided. Most of your time on the final assignment will be spent configuring screen shots of the assignment so they can be uploaded for a peer reviewer who has also spent more time on the tedium of this course than on actual learning.

Now that I've finished this course, I can honestly say it was the worst from the IBM Data Analyst curriculum.

It was full of mistakes (spelling and syntax wise) and although there were some new things, this course seems almost irrelevant.

The cherry on the top was to make a dashboard with information only given in two short videos that required previous knowledge of HTML and C+ (things that we do not approach on this course!)

The final assignment is way way too complex considering the students are entry level users.

I would really recommend IBM to do a complete makeover of this course!

Короткие лекции по 1-2 минуте вызывают удивление - неужто в IBM настолько разленились, что им языком лень ворочать?

В видео показывают и говорят одно, а в контрольных заданиях совсем другое, такое впечатлении, что готовит лекции один человек, а задания к ней совершенно другой и при этом они между собой не общаются.

Куча потерянного времени, раздражения и неудовлетворения, практических знаний - около 5% всего, в места 100%.

This is worst course in the specialization. None of the videos give any defined explanation about the parameters or keywords that are discussed in the labs. In the labs too there are no clear explanations as to why certain parameters are used. This is the worst course. I would recommend replacing the videos with videos that actually contain clear explanations. This is not for beginners.

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I think, you really should change this course in a way that one is not dependent on labs.cognitiveclass.ai

It simply does not work. I have manually to upload everything to my light version of the Watson Studio.

Most dull and boring from the whole IDB Data Science Path. The last assignment was a mess. Unclear questions in the final submission, written in questionable English. Plus the need to stitch screenshots together, or not knowing what exactly to crop...

Videos don't do a very good job explaining the material. This course is tough. The labs are poorly written and very confusing. If you don't have experience writing dashboards, you are going to struggle, and you will struggle big time. Tread lightly.

Worst course from all the Data Science Certificate. Information is unstructured and hard to achieve peer assignments when most labs are not working correctly. Final tests are also very confusing. too much information is not explained.

Course feels extremely rushed and the final assignment requires knowledge not taught in classes. I DONT recommend this certificate. If i wanted to google everything i would just kept my mony and wouldnt spend it on garbage moneygrabs.

The class itself is very high level (and super repetitive on unimportant information) , but the final assignment asks for things that were never covered in the class. Anything I learned from this I taught myself. Very frustrating!

hello,

I am very mad with registering accounts ibm.

I paid 40$ each month. The course lasts 11 months, and I have only 1 month trial permission.

Do not mention promotion codes. I interupted when I used it.

Bad experiences.

Really really sloppy instructions in assignments towards the end of the course, very ambiguous and obscure. Also, the Dash part is too dense and going with too fast a pace, thus very confusing for beginners in Dash.