Nov 28, 2018
The course with the IBM Lab is a very good way to learn and practice. The tools we've learned in this module can supply a good material to enrich all data work that need to be presented in a nice way.
Aug 14, 2020
Great course, one of the best course to get hands-on learning for Data Visualization with Python. Particularly the lap exercise, it will make you think on every line of code you write. Excellent!!!
創建者 Aniruddha P•
Sep 21, 2019
The course can be made much more better. The final course assignment wasn't much based on the things that were taught during the course. Example could be using the labels above the bar.
On the bright side, the contents were really good. Thanks to the instructors! :)
創建者 Elvijs M•
Apr 18, 2020
As all the other courses in the specialization, the depth is rather shallow. The seaborn and folium parts are extremely short and superficial. Good luck if you actually want to apply these libraries for your own projects -- then you're back to googling.
創建者 Gisella B•
Mar 10, 2020
Hay una sección que repiten en casi todos los videos. Además no funcionan los laboratorios desde hace días , no puedo hacer el trabajo final porque tampoco sirve el link y no hay manera de comunicarse con los de servicio al cliente de coursera.
創建者 Pokkunuri S C•
Aug 23, 2019
The videos had low sound quality, almost all videos had same recording for initial 2 minutes which was unnecessary. The final project had use of many such functions which were neither discussed in the videos nor explained in the Ungraded Tools.
創建者 Semanur K•
Apr 11, 2020
It was by far the worst course I have taken in this specialization... You really should renwe the materials and add more labs, because video lectures are kinda useless. I am giving 2 stars out of respect for the effort given to put it here.
創建者 Adam H•
Jul 25, 2019
Had some problems with changes to the interface that caused quiz questions to become unreadable. Also found some of the discussion around artist and scripting layer in matplolib difficult to follow. Could have done with more explanation.
創建者 Connor F•
Apr 05, 2020
The marking rubric on the final assignment gave 5 points or no points for a table, so there was no way to give part marks. Also the previous labs did not show how to add the SF map in the same way as the final assignment.
創建者 Prajwal A T•
Mar 17, 2020
As compared to other courses in specialization, this course has many errors in labs. Video sessions are also less informative. All the things directly come to lab only. Also error resolution by faculty is very poor.
創建者 Panos P•
May 02, 2019
The final project was way difficult. Which is fine, difficult is fine, as long as the knowledge on how to solve it is provided by you in the lecture notes\videos\lab sessions. I mean that is your job right?
創建者 清基 英•
Mar 22, 2020
I was so upset for the last project because knowledge of I have learned from this course was not enough as all for completing all the questions. I really wish to get more advice or tips for the project.
創建者 Stephen v•
Mar 26, 2020
Doing the IBM Data Science Certificate and this is probably the worse course. The content is relevant but the directions and labs are poor compared to the others. The explanations aren't as clearn.
創建者 Tara S•
Mar 25, 2020
A lot of problems opening the labs. The final assignment required us to do things that were not discussed in the course and it was unclear where to get the relevant information to complete it.
創建者 Federico T•
Apr 23, 2020
Video lessons are poor in explanation of matplotlib syntax as well labs. Differences between pyplot and artist layer are not clear: a lot of work has left to selftaught. Kind regards, FT
創建者 Ermek A•
Apr 28, 2020
Some exercises throughout the course aren't explained neither in the video, nor in the labs.
It is hard to understand the Authors data visualization functions explanations in the course.
Apr 09, 2020
This Course wasn't that good like the previous ones, the Videos were quite short and the labs weren't very explicit and made to be understood by everyone.
創建者 Andrew S•
Jun 24, 2020
Not everything that was needed in the final project was covered well enough (or at all) in the videos and lectures
創建者 VIJAY V S•
Jun 10, 2020
Very theoretical, Quiz questions were made over complicated. this make loose interest in completing the course
創建者 Eduardo F V•
May 01, 2020
I am happy with what I learned but I think it is not as good as the rest in the series.
創建者 Sobhan A•
May 06, 2020
Terrible IT support. Labs do not work. Never recommend IBM courses to anyone.
創建者 Hakki K•
Jul 09, 2020
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.
創建者 Yifan J•
Aug 01, 2020
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.
創建者 Carlo P•
Aug 31, 2020
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).
創建者 Sergii G•
Apr 13, 2020
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%.
創建者 Soumik B•
Jul 17, 2020
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.
創建者 Dmitry N•
Sep 18, 2019
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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.