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IBM watson studio videos are outdated.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.

The course was more focused on listing various tools and a brief on them and with not zero experience and knowledge on data science jargons, made this course less effective.

I felt like some of the information on tests was never covered. Same is true for some modules. Overall, learned tips though. The cheat sheet for coding is extremely helpful.

Despite it helping better understand what are the tools used in data science and how I can use the, the speaker's voice felt so robotic that made it harder for me to focus.

Typical marketing course :))), unless you are aiming for a professional certificate, I don't recommend this course at all, cause you learn nothing besides IBM software :)))

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.