Last week took me too much time, but that was my own laziness. The course is well designed and taught me a lot about data cleaning, and strict deadlines are also a good learning. Thank you.

You should include questions relevant to learning material but i learned a lot more from this course and IBM really facilitated me to complete this specialization by aiding me financially.

Lots of outdated content and not many resources to help, however a lot of it was at least a little bit useful. Though a lot could be cut if you already know a thing or 2 about programming

Overall it was a good course. It could have been better is the support staff for the course were available answering questions. Some of the materials are outdated and needs to be updated.

Very in-depth and rewarding project - would be a little better if more specific guidance on what to exactly include in the notebook would be better. But overall very stimulating. Thanks!

After some trouble, I was able to fix the issue with the ID identification... But nevertheless, the Certificate is not shown when using its link...

The Course, nevertheless, is great!

The capstone project was difficult. I struggled to incorporate the concepts I learned throughout this training in the final project, however I don't have any statistics background .

The capstone project was not very identical to what is covered in the course. We are briefly taught Foliujm Library but at the end, it was our final project. This was a minus point.

The course is fine as long as you finish it in one go. I had to restart and then ran into some difficulty with the cloud licence. Happily, coursera gave a workable work around.

Overall this is a tough course, since it mainly involves building your own project with your idea and using the tools,technologies which we have learnt in previous courses.

Nice course. Gave me good understanding and insight of how Python can be used in Data Science and what are different solutions and approaches currently in use in industry.

I learn't a lot from this course. reinforced and needed to apply whatever I learn't in previous courses. Had to work on Python coding, pandas, Folium, Foursquare, etc.

Great course and project, I would have liked to get a bit more freedom in what API to use. But great to have a bigger project to work on as you learn most from that.

Cours vraiment, permet à l'étudiant d'être dans une situation réelle et met l'accent sur la compréhension même des différentes tâche à travers le rapport à fournir.

The course has to be revised, it has a lot of notebook problems. The content is very good, but it was exhausting to make the activities and to finish it.

Interesting course but too lengthy videos for my taste. I would have preferred a more text-based style, but this is just my personal preference.

Overall, a good beginner's level project course. But, it will require a lot of input from the student side, which is necessary for one's growth.

It is excellent, especially getting to know about foursquare ApI is exciting. But still some part of the codes can be explained from the scratch

Some courses where not as good as others, but the value you get with the lab, provided you keep them and understand them, are of great value.

Solid finisher with enough freedom and constraints to give a framework for notation yet remaining interesting while preventing to drift away.

The course is absolutely a good one for beginners, a category which i fall into. I am sure it will help me in my career as a data scientist.

An excellent course to learn how to use location data in data science. The last couple of sections can be long hours but worth the effort.

You can apply many concepts that you have learnt in previous courses of the certification, and maybe put in order all the knownledge.

This course is an eye opener for me. It has open another chapter in my career develoment. Am greatly greatful to all my instructors

Great course to start your data science proficiency. Courses are brilliantly organised and notebooks were of great experience.