Very basic. You learn what tools exist but not really how to use them. Also, too much emphasis on Watson, even though I understand that IBM wants to promote their product.

Not very organized course, a lot of stuff plugged in a module and because of that frustrating to learn. On the positive side, I like module 2 on Git and Jupyter notebooks.

I liked the course, a good overview. Unfortunately, I had such a hard time with the last task: not because of its difficulty, but technicalities using IBM Watson Studio.

I think this module should have more reading material. because there are too many technical terms which are just explained in a hurry which makes ti difficult to grasp.

The data platform's name and handling has changed, which makes it more difficult to create the accounts and follow the instructions. The instructions should be renewed.

There are some videos which are not updated and IBM Watson doesn't really work as described in scripts and videos. Project parts completely missing for some settings.

It is a course for very beginner to know what kind of tools that they may need to use for data science. And it is also an advertisement of IBM for their data service.

I am ready to have more hands on experience, the overview of IBM products seems much to long. I would rather learn about the products doing more hands on exercises.

The Watson studio training was poor and dated. The Watson interface was poorly constructed and not intuitive or user friendly. I prefer Pycharm and Rstudio to Watson

It was difficult to get Watson Studio working initially. Faced many issues. And created almost 3 different accounts to get it working. Lost 3 days of time in that.

The DSX video is very out-dated, I was pretty confused and frustrated while trying to follow the video guides. The R-studio map function was pretty cool though.

What tutorial video shows and the user interface (IBM Watson studio) look different so that it was confusing sometimes. The tutorial videos need to be updated.

Content is good. Videos need to be updated very soon. In the middle of the course I was confused because the videos are so much different than actual websites.

Good course.

Unfortunately none of the opensource tools are leveraged in the subsequent courses.

All the subsequent courses will mandate you to use IBM products.

The videos are a bit outdated, especially in week 3. There is no resemblance between the current version of Watson studio and what is explained in the videos.

It was fun to learn new data science tools. The third week was sometimes frustrating because the course videos did not match with the layout of Watson Studio.

Some of the classes seem rushed, especially during Week 2. It can cause confusion and some fear to attendants. Week 3 picks up the pace again, and was great

A bit heavy on IBM tools, many of them may never be relevant. Some video's are pointless, some the quality is poor. Especially the github videos er rubish.

i feel the material focus a whole lot on ibm products which i understand.But it kind of sucks you in for longer periods whenits meant to be a brief intro.

Git and GitHub could be explained better - not possible to understand from info given in a course, you have to go and search for extra information outside.

There were some parts. It's too much details about name of another package and brand name of it or something. Really difficult to digest it in a few hour.

It was a good basic overview across a range of topics. The assignments were very, very easy however; I don't think it was particularly challenging at all.

The instructions are not very clear and also the interface for IBM Waston has changed a lot but the videos have not been updated, which caused confusions.

The content was not so much helpful for someone who is learning the data science, Rather it was more like the pitch of IBM Watson, especially 3rd module.

too basic... and it's really weird that I have to submit so many times for quiz until it feels less of a learning experience but more of a bug experience