Good for intro. Focuses a bit on memorizing exact names of tools and libraries.

Great course but the final exam was evaluation method was not thought out well.

Good course, but felt a bit rushed for some IBM tools, especially Data Refinery

Feedback is not correct from other student.

I'm a little bit disappointed in it.

I guess the videos shown are a bit outdated with regards with some of the tools

Instructions are out of date with IBM Watson. Lite is no longer a free option.

Good to have an over view on IBM notebooks like (Jupyter, Zeppelin and Rstudio)

sometimes the material becomes very dense, but nonetheless, I learned a lot :D

the content needs to be more relevant with more focus on trending technologies

Sometimes pactical-showes lessons was not really comfortable for understanding

In the information part course is awesome but the content needs to be updated.

Nice introduction to the required tools needed for application in Data Science

The course needs to be updated as the videos for the last module are outdated.

Nicely explains all the Open Source Tools, but not updated for the new Watson.

A very well made course its just that last few videos were hard to understand

I don't see similar buttons when using Watson Studio as the videos showed DSX

Some questions are verry specific but it is a great intoduction to IBM tools

The course material are outdated that I had real struggle finding it online.

there must be some hands-on experience for every tool which has been taught.

it was very good experience as i first time did hands on workshop like this

Watson Studio: On Data refinery video didn't include how how to import data

Some of the videos are not updated to the current versions of the softwares

Too much of information packed in single course. Pretty hard for beginners.

The course needs an update, since the tutorial resources have changed a bit

Course structure is good but the Labs has lots of issues / technical errors