the videos are a bit outdated, can be confusing! but the course gives a good overview of the tools & enables to get familiar, good exercise

Video lecture is something different with current IBM Watson Studio.

Please update contents with recent version of tools and configurations.

This course provides a lot of information to get you started, but not much hand-on work. Also, the videos are outdated by a couple years.

Too much theory, but practical exercises are easy. When telling about different software, it's very hard to remember all this information.

In my opinion the first three courses of the IBM Data Science professional certificate can be neatly combined into an Introductory course.

Great introduction to popular open source tools for data science. A great way to get started on the journey of becoming a data scientist.

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It's a good course, that helps you understand data science tools, I highly recommend it if you are just getting started with data science

The content is vast compared to the 1st course but if you have enough patience then you will enjoy this course and learn a lot from this.

This is the best course I have ever taken that explains the tool kits of a data scientist. Great thanks to the tutors, IBM and Coursera.

Some prior knowledge of programming is helpful for this course. Either that, or learn how to research for the information that you need.

Seemed more like marketing the IBM Watson studio rather than listing and explaining open source tools, but it is indeed a good product !

just please update the videos as per the former Data Science Experience to avoid confusion for us noobies. The rest, just great! Thanks!

The course is good. I appreciate the way its done. I think we need more practical exercises for each of the three languages R & Python

Screens for Data Science Experience (DSX) did not match well with what showed up on Watson Studio. Help from discussion forums worked !

In my opinion, even for beginners could go deeper in this section. And the material for the IBM Watson Studio could be updated in time.

Nice intro to open source data tools needed to be modified for new IBM cloud interface. I faced some problem finding it out on my own.

Informative. With all the technology available today it became abundantly clear - there is a great opportunity for viewing data today.

It is a great course,

sometimes I found myself lost when I don't realize the rule of what I learn to the data science world in general

Peer review needs some supervision, as many students do no understand the material and do not follow the rubric to grade effectively.

Some commands used in R Studio were not correct and it was difficult to learn and correct them. The rest of the course was excellent.

Everything was amazing. Only one thing for improve, before the final assignments could you please include the "Hands On" or in there.

It was really interesting but sometimes it goes into irrelevant deteails making it pretty dense. It should go strainght to the point.

Very hands-on, could have focussed a bit more on different tools (like hadoop, apache spark etc.) rather than frameworks to code in.

Sometimes was complicated to follow the instructions and they were not matching each other in the course and IBM Cloud, but anyway...

Good course , gives insight about the tools , libraries that data scientist uses ane prefers and gives hands-on tutorial on the same