A little outdated in some parts, but in general a good introduction to Jupyter Notebooks, Apache Zeppelin Notebooks and RStudio

I found the course to be quite heavy. I feel like there was a lot of information thrown at me but I enjoyed the hands on labs.

I felt this course could be designed a little bit better.

The Github and the IBM tools modules were pretty vague and confusing.

excellent training to familiarize with Data Analytics open source program tools and workbooks capabilities and functionalities

Great overview of the tools, would have had more hello-world-type assignments for all of the new software packages introduced.

Interesting, yet not perfect course. A lot of the video contents need to be updated, as well as the hyperlinks of the lessons.

Very useful to get an insight into the data science tool, however, practice is required to be done by those who do the course.

It was quite informative and has helped my pick up new skills like creating basic Jupyter notebooks using Python programming.

A broad a detailed description and introduction to the open source tool available, with a good basic guide on how to use them

Excellent, but the Watson studio video's need to be upgraded for the new user interface. Otherwise it would have been a five

I thin a few more exercises could be added to the course in order to make the course takers a bit more fluent with the tools

It's a good course, but I had some trouble accessing a machine learning tool needed by the course on the IBM Cloud account.

There were a couple of instances where the review question in the video asked about something, before the video covered it.

The tools that this course introduces, are helpful and I will use them. But I think some of the explanations are too basic.

I feel the videos could be updated with the Watson studio instead of data science EX ,simply causing unnecessary confusion

The instructions regarding how to access Watson Studio were not correct (outdated), so I had to figure this out by myself.

Great course, however there are a lot of people including myself who got a bit confused with the final project submission.

Although the represented content was well formed, I think introductions to each technology and section was so rudimentary.

Excellent course. I learned different ways and functions to manipulate data, treat, refine and produce consistent models.

I liked the course, there were parts that the videos were not clear and the reading takes a few attempts to be accessible

Nicely designed course, lot of inputs,

Spoken English of some of the narrators was difficult to understand during videos.

some of the options on Watson data Experience work a bit different than they do in the videos but otherwise good content.

This course provides a wide and variety of information about popular data science tools, especially which came from IBM.

I think the video of the Zeppelin Tutorial is not clear at all, especially for those like me who don't know programming.

The content was interesting, I was hoping for a little more coding and maybe less Watson, even if it is very interesting