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.

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.

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

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

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

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.

Very good that, This modules makes the preparer to learn and practically implement the concepts what is learned in the last 8 modules.

This is very helpful.

This course is great for testing all of the knowledge acquired throughout the Program and providing a good start to a professional portfolio of projects.

Good examples, very practical. Also, good capstone project, well structured with the sections very close to the real world data science analytic report.

This course was especially demanding, but demonstrating what has been learned throughout the 9 modules is an excellent way to close this certification

The capstone project combines a variety of skills such as web scraping, data processing, data visualization, machine learning and business analysis.

I had to use almost all my skills I have obtained during IBM certification course. It was extremely useful and I feel now my skills enhanced.

Hands on course was very effective to learn actual programming, structure of report, how to use GitHub, and overall process for data science.

A worthy finale! The capstone problem statement encourages creativity and requires good understanding of various parts of the specialization.

Lets you do the actual work of working on something you like with all the tools this course has equipped you with in previous courses.

Intense project. Helped me gather all the skills I learned in the courses to create a project I had genuine interest in researching.

A tough project at the end, but if you've worked through all the previous modules leading up to this one, you'll be well prepared.

Very nice! You get to work on a project on your own to demonstrate the skills acquired in the other courses of the specialization!

Challenging course that allowed you to apply all that you learned. Forced to learn multiple APIs to complete final project.

This course gave me a great opportunity to work on a practical case study involving data wrangling and predictive modeling.

Really informative course, got to learn many practical applications of data science and made a really interesting project.

It's a really solid course. Take me lots of time but also let me learned a lot. It can improve your self-learning skills.

I found the level of the exercises and projects appropriate, at least what an aspiring data scientist is supposed to get