Apr 25, 2019
To the contrast of other reviews, I find the content very well bifurcated and fed to the learners. The course very easily digestable and I have had a great amount of fun learning it.. Go for it!!!!
Jun 30, 2019
This course is very nice to understand Python, Zappelin and R Studio basics on code and concepts, in which you will get hands on along with creating a free IBM Cloud and Watson Studio account.
교육 기관: Pietro P•
Dec 28, 2018
I did not learn much, the content was too easy.
교육 기관: Jing F F•
Feb 03, 2020
Video regarding IBM watson need to be updated.
교육 기관: ARJUN C•
Jan 06, 2019
More like a promotion of IBM Watson Studio.
교육 기관: Preston K•
Oct 01, 2018
The assignments were not difficult enough.
교육 기관: Julia S•
Oct 01, 2019
IBM tool didn't work affecting my grade.
교육 기관: A L I S O N•
Jun 07, 2019
week 3 is out of date and no long true.
교육 기관: John J C•
Mar 25, 2019
Too many advertisements from IBM tools
교육 기관: Guillaume T•
Feb 24, 2020
A really basic and outdated intro :/
교육 기관: Roy L•
Jul 23, 2019
a lot of 'monkey-see monkey-do'
교육 기관: Dovile K•
Feb 16, 2020
The course is pretty outdated
교육 기관: Anastasia S•
Apr 10, 2020
Materials are not up to date
교육 기관: Pranav G•
Jul 02, 2020
boring and not very helpful
교육 기관: Sruthi M S•
Apr 12, 2020
Poorly taught. Worst course
교육 기관: Daniel Y G•
Mar 28, 2020
update the videos please...
교육 기관: Camilo A•
Apr 07, 2020
Outdated and disorganised.
교육 기관: dan•
Mar 18, 2020
only basic information
교육 기관: Maximilian S•
May 02, 2019
교육 기관: Asfandyar M•
Feb 25, 2019
교육 기관: Matias C•
Jan 20, 2020
교육 기관: Shah H•
Jan 17, 2019
교육 기관: 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.
교육 기관: Aarushi S•
Mar 23, 2020
I appreciate the efforts that were put together in the course, and I have had very good experience with IBM courses in the past. However, was a bit disappointed with this one. The videos for IBM Watson Lab were outdated, which resulted in a lot of wastage of time to submit the final assignment*. Also, it does not make sense for students to compulsory learn IBM software and use it for assignments. Basically had to learn an extra software which we did not even sign up for. As part of IBM professional certificate, I think it was a bit redundant and can easily be made part of a Python beginner or Data Science beginner course.
*Faculty were helpful to point this out and point a step by step procedure for the updated version. But this was in the discussion section, and also immediately makes having watched the videos completely futile.
교육 기관: Cecile•
Dec 28, 2019
HORRIBLE course. Outdated and boring tutorial videos where you learn nothing except to know the existence of IBM tools that I suppose IBM is trying to promote through this course. The videos were made in 2016 and are completely outdated so you can't follow any of the instructions. The tools themselves are extremely buggy: out of 10 clicks, 6 will end up in an error message. They are not intuitive either. There's no way those tools are used in professional environments.
The 5 stars reviews must be fake reviews from IBM staff. There is no way any genuine student would give 5 stars to such a crappy course.
Look at the forums' comments and complaints before paying for this.
Really shocked that Coursera allowed such bad courses on its platform.
교육 기관: Derek A•
Apr 17, 2019
I don't think this course is any good at all. It crams all the different workstations at you giving you tasks to do in each one. Without actually building projects or seriously using these workstations, by the time you need to use them for a project the retention on how do navigate and use them are going to be low. I have totally forgotten how to use RStudio and what Spark is and I am on course 5 of the IBM cert because it hasn't been used since this course. I believe in a stand-a-lone when I need to refresh, this will be good to go back to but seems kind of pointless in the beginning of the Data Science IBM cert.
교육 기관: Maciej M•
Jun 25, 2019
The only objective of this course is to push IBM Cloud and Watson Studio on the learners. The software is highly dysfunctional and user unfriendly. I can't submit my assignment due to unclear instructions and errors that come up when I try to do so. This is so far the worst part of this whole course. I have found a forum link with some troubleshooting which I have fruitlessly searched for an answer, maybe somebody will find something there: https://www.coursera.org/learn/open-source-tools-for-data-science/peer/xakrA/create-and-share-your-jupyter-notebook/discussions/threads/G7ITBorwEem4khKVBn768g