As a person paying for the course. I expect that the focus of the course be on the overall tools and skills I need to be successful as a data scientist, NOT spending two weeks learning why "IBM tools are great."

It focuses too much on what IBM can offer and not so much on other, also effective, free tools that could help a data scientist, also i think this course would fit better later on the Data Science Certification.

I really liked the first weeks of study but i find it very hard to follow instructions of week 3 because of a wall payment i found on IBM Watson Study, that made it hard for me to follow the video instructions.

While the Course provided an Overview of available and popular Tools it provided Little actual experience of actually applying them and at Points almost looked like an advertisment for IBM's Cloud offerings.

Except for the more hands-on material involving github, watson studio and jupyter notebooks, the course was very dry. Painful to sit through detailed videos of IBM tools, when we only needed brief intros.

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

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.

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 Nevertheless, for me the main issue was that the video lectures concerning watson are outdated.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

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 You HAVE to sign up for IBM's cloud service and use a clunky tool there, and on top of that the videos are so out of date that the UI has completely changed.

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.

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.

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.

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.

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.

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'' !

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.

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.

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....

Too many tools are briefly mentioned and not properly introduced!

This problem is specifically annoying in weeks 2 & 3.

Also, some videos are old, and the voices are not clear enough.

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.

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.

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.

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....

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).