Everything was good, except the stuff with Zeppelin notebooks. That was just confusing and it felt like there were large chunks of explanations missing for people with no programming background

This course is for understanding the tools for data science. You don't really have a time to spend on those tools yet, but it is a great course for understanding what to learn for your future.

It was a useful course to understand the different tools. I think we can add more practice instead of introducing new tools. I personally prefer to do actual practice than memorize new terms.

Great beginning course to get more comfortable with the open source tools. Some of the materials are a little out of date though, so you have to just click around to find the intended buttons.

It was a lot of content with some very brief explanations. I guess some topics will be detailed later, but It was a little bit overwhelming specially about topics involving Machine Learning.

I would focus more on some practical use cases. Too many tools are shown for us to getting familiarized with all of them (I won't even remember half of them by the end of the specialization)

This course introduced me to some great virtual environments to train my skills in data science. I'm now more familiar with these tools and ready to use them in more advanced applications.

The content was interesting. But, several times it was not clear if one was supposed to go along the instruction in the video or if self-action would be required later. That was confusing.

Remove the IBM Watson Studio (Optional). It is useless. Also, I can not create free account on given URL. Overall it was good until learning basics of R-Studio and using markdown language.

This is such a great course to introduce you to the tools used for Data Science; I learned a lot about git/github; what I did not like about the course is the way some tools are presented.

Overall good introductory course into the main tools data scientist use. Some videos should be more explanatory and not assume the viewer has programming experience or is a Data Scientist.

This is a fast paced course. Where all open source tools required for data science are introduced.

The learner has to take up self initiative to gain deeper knowledge regarding this tools.

overall, the course is great, but since the IBM environment changed, videos do not correspond to exercises. It would be good to add reading materials clarifying differences in more detail.

I think it could have done a better job covering toolsets not from IBM also, but I have a reasonable introduction to IBM Watson Studio's toolkit along with Jupyter Notebooks and RStudio.

The course in general is excellent!

Just in some part, the sequence of the instruction should be reordered. If you look into the comments from other fellows, they encountered same problem.

Good course for first steps of understending techniques of working with programs. But educational material is outdated. Most of the videos related to previouse version of learned systems.

This course is a very good guide for newcomers in the field of data science. It gives a very good overview of the tools available to the aspiring data scientist. Its structure is apt.

Detailed Introduction to Tools used for different Data Science tasks, how to manage different tools and how they work with each other, giving new Data Scientists endless possibilities

First two weeks had quite useful videos and labs. The third week was entirely about IBM which kind of feels like a shameless plug. Week 4 Assessment could have been made a bit harder

Great content. Week 1 github labs were pretty poorly organized, and could use improvement. The rest of the course (Jupyter and R Studio) was great. Thanks so much to the instructors!

This was a good course, it introduced a wide range of topics and tools but was not in depth but I think the depth will arrive in later courses that are a part of the specialization.

everything was going well until I saw the IBM Watson Studio part. It became very difficult for me to understand, and when my free plan expired I could no longer use their platform.

Good material and pace, good selection of tools. Some of the video material was outdated (IBM Watson software now looks different and has slightly different steps for signing up).

There exist a need to update Watson Lab video to be in-line with the actual page access through web. It took me awhile to figure out how to register and create a jupyter notebook

Del momento en que se hizo el curso a la fecha, algunos recursos han cambiado de nombre y esto es mencionado en el curso de manera confusa ya que no está debidamente actualizado.