Apr 12, 2020
It serves perfecty its aim that is giving a first glance of the open course tools for data science. Of course each tool is briefly touched and it hands over the student the duty to deepen each tool.
Sep 15, 2020
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.
By Dantuluri S V•
Jul 23, 2019
I had a major problem while using Watson Studio as its interface and features are completely different from what is shown in the videos and moreover it is showing various errors while choosing a project
By Vĩnh T T•
Apr 17, 2021
I've been overwhelmed trying to follow all the concepts as well as tools and its usages since I haven't yet had any idea. Placing this course right after the introduction kind of wasting students time.
By Dmitry B•
Mar 24, 2020
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 Nevertheless, for me the main issue was that the video lectures concerning watson are outdated.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•
Nov 8, 2019
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 You HAVE to sign up for IBM's cloud service and use a clunky tool there, and on top of that the videos are so out of date that the UI has completely changed.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 Kshanti G•
Jun 1, 2022
Several tools shown in the videos seemed inaccessible to us as students. It is very hard to retain knowledge when we don't get to apply it. Some of the videos didn't match the Watson interface.
By Facundo D d V•
Jul 30, 2021
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•
Sep 8, 2019
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•
Apr 4, 2020
This course is very short, and, moreover, I had met some negative moments such as outdated videos and the fact that the Zeppelin notebook is not avaliable now (april 2020) on Skill Network Labs.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•
Aug 14, 2019
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 Osman B•
Feb 11, 2022
Especially quizes measure nothing. Some options dont make any sense. Some questions, for example, has 4 answer option. And you can encounter that the second option says ''all of above'' !
By Юра Б•
Mar 5, 2019
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 Malcolm M•
Aug 23, 2021
The Last section on other IBM tools is not that clear. Had to go to youtube to look for the relevant units inorder for me to understand. The content is abit heavy and not broken down.
By Eva M•
Nov 14, 2019
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•
Sep 23, 2019
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•
May 2, 2019
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 Saloni S•
Feb 18, 2022
Some of the labs were not updated so it was a bit frustating to follow. Also, I would have preferred that the videos shown on data analysis and Watson Studio Knowledge had labs.
By Fábio S V•
May 2, 2019
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•
Oct 26, 2020
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•
Aug 25, 2020
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•
Aug 11, 2020
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•
May 15, 2019
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•
Mar 17, 2020
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 Gerard J•
Jul 1, 2021
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•
Sep 16, 2020
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•
Jan 21, 2020
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.