It is the last one of the 9 courses of IBM Data Science Certificate. It is the hardest one while it helps people check how well they have learnt for the whole certificate!

The assignments were a lot of fun. They were difficult and encouraged me to think like a data scientist, and apply some of the skills picked up over the previous courses.

Very challenging and gives room for the student to apply all they've learnt wrangling, sorting and analysing Data... and using these skills to solve a real-world problem.

Awesome course! The project is real-life and chanllenging, refereshes my understanding of several important data science concepts as well as programing skills through it.

It's a very good course.And, i think this is good for applying your knowledge of machine learning and data visualization which you have gain during the previous courses.

The last and greatest job of IBM Data Science Certificate.

This course is necessary for all future data scientists because you will get your hands dirty with a project.

The best course I have taken so far. Report structure at the end could be better and I felt like I needed more than two weeks, but this course teaches self-sufficiency.

Excellent and challenging. Had great fun doing it. Learned a lot and the capstone project was an interesting way to cover all that was learned. Proud of my achievement.

From the videos to the final assignment this course is integral, dynamic and well explained. Recomended to all who wants to start in Data Science a new option to work.

Great content. My only problem: I am unable to download my certificate or badge because the Coursera verification system has failed to verify my ID after 60 attempts.

Great way of designing the project through which it wraps up everything I learned during the IBM Data Science Program .. Thanks for all the trainers .. Thanks Coursera

This is awesome course which taught me a lot regarding the datascience process and methedolog. Also this is one of the very few courses which teach the foursquares API

I really feel that I learned a lot in this capstone although I know we have a long way to go. The course helped me keep my motivation up to keep learning Data Science

Excellent Data Science course. I have learned all the professional skills in Data Science! Thanks and appreciate very much for all the hard works by the instructors.

That's exactly what it says: capstone. It sums up everything someone learned in all relevant courses, then makes you employ this knowledge on a project. I loved it!

The best certificate for serious learners. It takes you from zero to hero. Very well structured and presented. Loved the material, the videos and the hands on Labs.

This course was fantastic and provided invaluable hands-on experience with data science and machine learning that is immediately applicable to real world projects.

Fairly well prepared course, you get a lot of basic skills which you can later on improve even further. Highly recommend for anyone starting out in Data Science

Some quiz answers are wrong and need correction. Overall the course is great, I would recommend improving the project instructions to be more clear and specific.

I learn new skills from this course, especially how to establish the Github profile and use it as my portfolio; and using Foursquare API to for location analysis

Really good course for people who want to start Datascience journey.Concepts very well explained and ample number of labs and assignments for hands on practice.

This course covered all of the fundamentals and gave me a greater understanding of the concepts, thought process, and tools required for the Data Science field.

This was an exceptional course. The whole package of 9 courses provided to me many new insights into the data science. Thanks for the instructors and Coursera.

The best way to learn is to apply things into practice and spend time testing how all these techniques can help you answer the questions you are interested in.

I learned a lot -- more than I was expecting. Also, the course was structured for finishing small portions of the capstone - so you are not too overwhelmed.