Half of the course feels like marketing for IBM tools. In the rest, one learn how to launch tools, not to use them. Most of these are software development tools. The course really should ask students to write some simple programms.

the work jumped around a lot and was very confusing. I had to outsource a lot of material to help me out. This course is for people that already have knowledge of components in data science not for someone that has zero experience.

This could have been covered in 1 week. The information is usually presented fine, but some videos are literally recorded in a car. The information is fine to know but does not require a whole course for. A bit of a waste of time.

Since I do have a little knowledge of data science, I think the topics covered in this section (Tools for Data science) are valuable. However, I guess the way this course was taught as if students were comfortable with the field.

This course isn't as well organized as other courses I've done on Coursera. Several of the quizzes ask questions about things that aren't covered until much later in the course. I had to skip those quizzes, then go back to them.

Videos are out of date and hard to follow on IBM Watson Studio. You have to read though pages of comments trying to figure out each piece since the screens look completely different now. They need to update the videos ASAP.

Not very helpful.

Many complained concepts were explained briefly which was not helpful.

Additionally, some labs could not be done based on the instructions. Specially the Watson studio instructions need to be updated.

The videos don't align with how the Watson Studio is operated. It took about 3 hours of complete wastage to get to know how the account works on IBM cloud. Kindly update the videos in accordance to the new interface.

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.