Less structured than the first course, but still good. The information is less clearly communicated and presented more haphazardly than in the first course. That said, I still learned a lot.

Had to figure out many aspects of the course on my own and it was labelled as beginner course. I really wonder how a student with no prior programming knowledge will cope with the assignment

Overall, I enjoyed the course. However, the video instructions for using IBM Watson Studio did not match the updated version, thus making it a bit difficult and frustrating to follow along.

The incoherence between the IBM tools interfaces in the videos and the real interfaces makes us lose quite a bit of time with simple tasks just as setting up an account or create a notebook.

The videos need to be updated for the actual tools being used now. The videos do not help if i have to go digging in Q&A for how to access and perform the assignments with the new tools

The write up and videos don't always match the programs, probably just need updating.

Overall a good introduction to a lot of tools, but unnecessarily complicated for absolute beginners.

The only reason I gave this only 3 stars is because the Week 3 videos did not match up to the content instruction. This made it difficult and confusing. Not sure when it will be fixed.

A nice introduction to the open source tools. Not much programming, but a good starting point at least on Markdown usage. Hopefully the certification will get more difficult with time!

There are a lot of tools in this course, and I feel it is overwhelming for me. The way that instructors talked about Jupyter Notebook and RStudio is so advanced for a newbie in tech.

Good to know some tools the use as a Data Scientist.

But could be shorter, and should be a module in a week, not a whole course. I feel like watching an out-dated advertisement of IBM.

The course is poorly designed. Too many wordings and not enough checkpoints to recall the understandings. The quizzes seemed to test your memory power, rather than the understanding.

There are plenty of useful information in this course. However, there is a section that is really heavily discussing IBM specific products, which may not be relevant for some users.

Very interesting to learning, but frustrating that the assignments or instructions do not match the tools. Extra time is needed to find what the instructions are trying to say or do

Not bad as an overview. Lots of info that I hope will become clearer as we move forward. It's good to know how to post Jupyter on GitHub and Watson Studio. Those are biggies...

IBM watson studio videos are outdated. Ibm platform has been updated and the videos do not correspond to the current version making it difficult to follow. this should be improved

The instructions no longer match the applications and a lot of time is wasted trying to figure out what to do. There are literally hundreds of forum entries complaining about this.

I enjoyed the course and think its really useful to understand the tools ahead of the core training, however the visuals and the hands-on are not in sync particularly so in Week 3

The course was okay. I learned about a few new data science tools. However, I only gave three stars because I felt like the lessons and assignments could have been more in-depth.

Professionally prepared course with nothing but fancy tech names. The only useful assignment was the jupyter + github, so 2 stars for being professional and 1 more for the that.

The content could be updated for the current IBM Watson Studio user interface.

It was difficult to follow the instructor .

Also SPSS Modeler tutorial there was no way to practice

The source tools demonstrated in this course have been updated and changed. The user must visit the forums to get more current information not provided by the course materials.

IBM Watson Studio was forced-fed to learners. I was very happy happy with open tools from Cognitive Labs (Jupyter Notebooks, Apache Zeppelin) and should have stuck with these.

The overall content was fine; however, the videos were sadly out of date and it was very difficult to set up an account and create a Jupyter notebook following the directions.

Much of this was 5-star worthy, but a new video is desperately needed, as it does not match up with the current Watson environment and creates a lot of unnecessary confusion.

Concepts are though very prefunctory. Especially R and github section is very hard to understand, it just confuse you more, I think these parts shouldn't be thought that way