It's like a huge advertisement class for IBM. I want to learn some really skills and theory, not how to sign up for a IBM account, which is so complicated, almost took me half hour to figure out how to sign up this account.

The lab videos showed an out-of-date version of Watson Studio and following along with the instructor during the Github portion of this course was very difficult. I had to go to outside resources to understand the program.

This course gave us a good introduction to Jupyter, but the rest of it felt like an IBM infomercial to advertise their products. Not sure I will be continuing with this certification if the next course has a similar tone.

The content of this course was quite good, i enjoyed large parts of it. However, there were quite major problems with accessing different areas of IBM Watson that weren't intuitive enough and weren't signposted very well.

The course content is great.

The peer review part is not reasonable. The marking scheme is not totally matched for the assignment requirement and when other peers give biased grades, it is unfair to those students then.

A course that specifically focusses on IBM products. Somehow i was able to navigate with the interface but sure it could have been better. But understandable, its part of certificate and that the course is from IBM.

Would be great to have practical examples of different tools used, Week 1 has surface overview over different tools, but does not show how they look. So it is difficult to remember what each of them is used for.

Not a bad course if the student is brand new to data science / computer science / programming.

I felt I could have easiliy skipped this excepting that accounts needed to be set out for other course dependencies.

Although the core material is very interesting and well-explained, the fact that many of the tools needed in week 1 and 2, is making this course pretty frustrating if you don't know how to overcome this issues.

The course are good, but in China I can't get connected to IBM Watson Studio, even creating a normal account because I can't click my account [confirm] link.

What a pity to give up my whole certificate for that.

Modules 2 and 3 were a little bit confusing as they were showing feature for different programs, but most of details and concepts are to be explained later in this course which made some lessons hard to digest

I think that this course needs to be re-engineered. The videos are outdated and the videos jump right into the programming without explaining why you are typing out this code. It is not a course for beginners.

This course needs update. The current IBM environment and Tutorial examples are not matching and confusing. It also leads to crate multiple account with IBM.

Otherwise good intro to the tools and environments.

Interesante porque dan un panorama general acerca de Jupyter, compilación y lenguajes que soporta como Phyton y R. Al ser un curso ofrecido por IBM la herramienta para las tareas es de ellos, Watson Analytics.

A good overview of the various open source tools available. The videos, however, did not always match the material which made it confusing here and there. I am aware they are currently working on fixing this.

this course had a lot of items that I did not feel were beginner level. Most of the labs involved some coding, or language that was not discussed prior to the labs. I felt lost multiple times in this course.

The resources are very helpful, but the commentary sometime does not always helpful. Sometime the commentator missed to announce the new slide title, or go goes not give pause while going in the next slide.

Good course and training however it gives huge information about many tools, beginners could be easily lost in my opinion, the course should focus on the main data science tools such as : Python, Sql, R.

Please try to make more details lecture on specific IBM data science tools and short brief for others rather than short brief for every tool. Six to seven week video lecture will be better in my opinion.

I think the tutorial for the IBM watson studio needs to be updated. The tutorial was on data science experience (DSX) which isn't available on the website. This made this part of the course hard to follow

Course needs an update: still working with the old platform. It gets you confused when you log in and see that they now work with IBM Watson on one screen and screenshots of the old platform on the other.

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