Learner Reviews & Feedback for Tools for Data Science by IBM
About the Course
Top reviews
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!!!!
Absolutely Loved this course!! Challenging at times to keep up with all the terms and processes. The course provided great insight into Data Science. Would highly recommend it as your first course.
3051 - 3075 of 3,389 Reviews for Tools for Data Science
By Dmitry B
•I appriciated the course in general. Nevertheless, for me the main issue was that the video lectures concerning watson are outdated. The information provided does not correspond to the real platform
By Yannick R
•Very much feels like an IBM commercial. You HAVE to sign up for IBM's cloud service and use a clunky tool there, and on top of that the videos are so out of date that the UI has completely changed.
By Facundo D d V
•Although it's a fast overview of several tools, the course suddenly jumps to some complex concepts and operations that have no previous context for beginners. I don't think it was well structured.
By Taner A
•This is a paid course so update your videos regarding IBM Watson Studio. I wasted a lot of time to figure out the steps. Also the course is very high level and doesn't teach any practical skills.
By Маношин А А
•This course is very short, and, moreover, I had met some negative moments such as outdated videos and the fact that the Zeppelin notebook is not avaliable now (april 2020) on Skill Network Labs.
By Sebastiaan T
•annoying that you need to upload your jupyter notebook via watson studio. besides that the data science experience doesnt exist anymore, so the last week was not great material in my opinion.
By Юра Б
•For me better if it will be some docker image with required tools. But there is a promotion to use some external tools, that, as for me, not suitable for some research and development.
By Eva M
•I'm afraid I did not enjoy this course because I spent more time with IBM tech support that with the actual learning activities. And by looking at the forum, I wasn't the only one....
By Jose J D
•La explicación de los videos y la realidad no se parecen en nada. Sin actualización si hay cambios, el esfuerzo es muy elevado. He estado muy a punto de abandonar el curso entero.
By Amir H
•the course is not up to date with the latest interfaces of the open tools sites, causing a lot of confusion and need to wait for an instructor/mentor to reply in the forum section.
By Fábio S V
•The courses "What is Data Science" and "Open Source tools for Data Science" could be merged in one, there would be a better explanation about the tools available from IBM....
By Sarah W
•Too much straight forward fact, on fact with list on list (hard to stay awake and focused on this because there wasn't anything to break up the facts or the list of tools).
By Amandine B
•Some useful explanation of how to use Jupyther/Github/R but also lots of time wasted on presenting, over and over, IBM's tools and some very poor quality videos for Github.
By Edward J
•Week 2 was very poorly explained. I did enjoy looking at the IBM tools but there was far too much in such a short space of time - too much video made it less pleasurable.
By Daniel T F
•The whole content of the course is very basic and online scratching on the surface. It could easily be integrated in another course and though could be more constructiv.
By Kevin N
•I give this course a 2. It was so difficult to sign into IBM Cloud. I got repeated error messages. The tool seems to have a lot of bugs and makes learning frustrating.
By John C
•This unit should really be optional. Understanding the fundamental principles and tools of Data Science is one thing, shoving IBM products down our throats is another
By Sujith K S
•Rushed through course explaining too many things without proper background knowledge. One section was advertisement for IBM tools which most of us probably won't use.
By Truong G
•To me, this is just a presentation of online tools on cloud data storage. There should be more practical exercises from easy to hard to get used to with these tools.
By Juan J L M
•The course is not updated with all the tools and people spend a lot of time trying to see how the tools work.
Think more application exercise should be available
By Luis P R
•A few problems with IBM Developer Skills Network, specifically the Manage Data Tool and the Zeppelin Tool. Nevertheless, it was a good and interesting course
By Elizabeth C V
•The course explanations and classes were poorly structured and took 10 times more time for me to understand the concepts. I give a low rate for this course
By Umair A
•A lot of time, very little learnt. Two courses and only thing learnt was definition of Data Science and creating accounts. I hope this is going some where.
By Montoisy F
•Too much IBM-centric, lots of problems encountered with IBM studio/cloud installation.
Good point: Professors are very responsive to problems of students.
By Javier F S
•Too much information about the different tools that can be used in Data Science. Very broad and at the end, I just learned a bit about Jupyter Notebooks
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