The IBM watson studio tools were too much to become familiar for a newcomer. Can understand how complex and pwoerful the tool is. The assignment was more engaging and felt good.

Very simple and comprehensive introduction to Jupiter, Github and Watson Studio. To my mind the intro to Git and Github is one of the best in terms of quickly learning the tool.

Some of the teaching videos are outdated. I guess if I couldn't problem solve around that then I probably wouldn't be a great fit for this course. Otherwise, I would give it 5/5

While the general presentations were really good and had wonderful graphics, the explanations on other IBM tools were bit rushed and slightly overwhelming with its information.

I would give 5 stars if the material would have been updated and would present screenshots of IBM Watson Studio instead of the previous version which has a different interface.

This course is a very nice course especially for those who have no idea about what data science is. The course has piqued my interest and deepened my desire for data science.

It's very complete, give you a nice notion of the tools for data science. The problem is that the video is not updated to the websites so it gets a little confusing sometimes.

Overall well structured course but certain advanced ML features of Watson studio were demoed in the course without explaining the basics of Neural networks or decision trees

Great overview of the myriad tools used in data analytics and data science. But it also seemed like an infomercial for IBM products and services, which is a little sketchy

A lot of the questions during the 'final check' are based on the content of the video and not on the general knowledge has about the topics that are described in the video.

It did seem like some of the videos needed to be updated. There was some struggle to follow along with, but with a little exploring I was able to find everything I needed.

This course was straight forward. The correction to the course, would be based on its latency. It really needs an update to the content connections to IBM watson studio.

good introduction to the tools that a data scientist needs . But a bit promotional too. Great if you want to get good knowledge about the tools to be used in datascience

I think it was a good introduction, although some content seem slightly out of place. It might be better to introduce the IBM tools at a later part of this certification.

In general, the content is relevant, but some videos have audio problems and some topics (Git for example), are not well explained for someone who is new to the subject.

G

r

e

a

t

t

o

o

l

s

a

n

d

delivery, it's a shame one section of this course seemed outdated in reference to the materials it was pointing to (when I took it).

which made catching

This awesome course helps me to discover many data science tools. Its content fits for all attendants, including fans of open source tools, to employees of enterprises

Course Is Fantastic for beginners .But those who are expert in any one tool like jupyter notebook or any other its little confusing but course try to deliver its best

This is a very good introductory level course to know about various open source tools for data science. It gives idea about R, Python, Jupyter Notebook, Zeppelin etc

This part of the course is interesting and I did learn how to use some new tools, but for most of it, it was almost a sales pitch. Saying that, I do love IBM Watson.

Overall is good, but in the last module which require student to participate in IBM watson studio have a lot of problem such as notebook creation on watson platform

I particularly liked the chance to practice with the online tools. The only caveat was that I missed some of the unstructured "work with your own data" exploration.

Course content needs to be updated in case of IBM Watson, there's so much buzz about it. Video tutorials are absolutely inconsistent with the actual UI of the tool.

Week three videos need to be updated, Enjoying the content, but the use of the old videos made the last lesson or two harder to follow than was strictly necessary.

An interesting introduction. Some materials are slightly out of date, so know you might have to dig around in the IBM webGUI, but very well laid out none-the-less