The weeks 2 and 3 serve more as a commercial catalogue for IBM than to learn Data Science. I'm keeping strong in order to claim the professional certificate, but this course was tough and disappointing.

The video lectures are outdated and are in dire need of updates. I found myself lost at times, as the current version of Watson does not match the version shown in the lectures. It was a bit frustrating.

Its a lot of good information, but it's a bit of information overload. Although I managed to complete the course, I don't feel like the setup enabled me to absorb nearly as much as I would have liked.

videos are someway useful. But I have faced difficulty to find IBM Watson Studio. The Link that was shared in the videos are not directing to the actual watson studio link. Please add the actual link

This course is announced as a course for beginners without previous background in programming but it contains information related to the list of programmes that we are supposed to be acquainted with.

the course need to be updated. some of things are explained easily but as a beginner it takes lots of time for to understand things. It will be beneficial to the beginner's if the course is updated.

It is just a marketing for IBM's cloud platform. Plain and simple. However they introduce someone who NEVER seen anything in programming to start looking for available tools. Very shallow knowledge.

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Instructions for IBM Watson are outdated.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 The videos are outdated, however, which made it difficult to do the assignments at times.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.