Too much info. Good for overview, but impossible to remember it all. Some quiz questions should be revised e.g.: Question 2 Is Keras a machine learning or deep learning library for Python? (Yes/No)

Instructions for IBM Watson are outdated. Would prefer more content on doing work in Jupyter notebook rather than watching videos and answering quiz questions. Learning in accomplishing by doing.

Sometime I feel that I am lost in those videos about R and Zeppelin. One video starts doing something like uploading a file and the next one makes the overview of the tool when it should be first.

Introductions are quite brief and assignments are not challenging. You may need to spend quite extra time to really get to know how to use there open source tools. But still a good way to start.

Very useful course, great way for anyone to familiarize themselves with open source data science tools. The videos are outdated, however, which made it difficult to do the assignments at times.

Se debería de facilitar documentación bien estructurada y editada, en pdf de todos los contenidos del curso, no sólo las transcripciones que además muchas veces están mal traducidas. Gracias.

This is supposed to be a course for beginners but the amount of advanced concepts and tools they throw at you with no explanation is staggering. A pity because otherwise this could be useful.

I found the majority of the videos to be pretty boring. I think more practical exercises, with actual goals, rather than purposely importing or copying random code, would improve this course.

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