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 But educational material is outdated.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 Some of the video material was outdated (IBM Watson software now looks different and has slightly different steps for signing up).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.

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Some of the teaching videos are outdated.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.